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This is a dedicated page for the inventory of the datasets used throughout various projects in the LISA.
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This is a dedicated page for the inventory of the datasets used throughout various projects in the LISA.
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| **Dataset name** | **Location** | **Authors** | **Date** | **Project** | **Description** | **License** |
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```json:table
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|------------------|--------------|-------------|----------|-------------|-----------------|-------------|
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{
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| Artefact segmentation in WSI | https://doi.org/10.5281/zenodo.3773097 | Diapath / Foucart | 2020 | Digital pathology / PhD Adrien | Whole-slide images with annotated artefacts | CC-BY-4.0 |
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"fields" : [
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| Gleason 2019 | https://gleason2019.grand-challenge.org/ | Nir et al. | 2019 | Digital pathology / divers | Prostate cancer TMA with multi-expert annotations | Unspecified |
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{"key": "dataset", "label": "Dataset name", "sortable": true},
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| MoNuSAC 2020 | https://monusac-2020.grand-challenge.org/ | Verma et al. | 2020 | Digital pathology / divers | Multi-organ WSI regions with annotated nuclei (4 classes) | CC-BY-NC-SA 4.0 |
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{"key": "location", "label": "Location", "sortable": true},
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| NuCLS | https://sites.google.com/view/nucls/home | Amgad et al. | 2022 | Digital pathology / PhD Adrien | Breast cancer images with annotated nuclei (> 10 classes) | CC0 1.0 |
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{"key": "authors", "label": "Authors", "sortable": true},
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| PTL01 | \\LISANAS\protherwal | CMMI / Foucart / Elskens | 2022-2023 | Protherwal | µCT in-vivo / ex-vivo + WSI for mice with liver tumours | Unreleased |
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{"key": "date", "label": "Date", "sortable": true},
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| PTL02 | \\LISANAS\protherwal | CMMI / Martens | 2022 | Protherwal | µCT / MR / Histo for mice brain | Unreleased |
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{"key": "project", "label": "Project", "sortable": true},
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| Marzhal | \\LISANAS\protherwal | Marzhal et al. | 2021 | Protherwal | WSI with landmarks for registration | Privately shared |
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{"key": "description", "label": "Description"},
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| ACROBAT | https://acrobat.grand-challenge.org/ | Weitz et al. | 2022 | Protherwal | WSI with landmarks for registration | Unspecified |
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{"key": "license", "label": "License", "sortable": true}],
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| TIGER | https://tiger.grand-challenge.org | Radboud / Bordet | 2022 | Protherwal | Breast cancer WSI with semantic segmentation annotations | CC-BY-NC 4.0 |
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"items" : [
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| Bandi | https://zenodo.org/record/3375528 | Bandi et al. | 2019 | Protherwhal | Sample WSIs (multi organ, multi stain) with annotations for tissue segmentation | CC-BY 4.0 |
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{
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| Phase contrast microscopy sequence of U373 cells|https://zenodo.org/record/2535675|O. Debeir | January 8, 2019| |Cell cultures in Falcon plastic dishes maintained at 37 C° were observed and recorded automatically every 4 min. The images were acquired under a phase-contrast microscope (Olympus, model IX50, magnification ratio 10:1), with a charge-coupled device video camera (Hitachi Denshi, modelKP-M1E/K-S10) coupled with an acquisition board (32-bits Matrix Vision PC-GRAB-GI frame grabber).The image dimensions are 700 500 pixels (with a pixel resolution of 0.92µm at the magnification ratio abovementioned) discretized on 256 gray levels (8 bits/pixel). The images are compressed using jpeg compression.| CC-BY 4.0 |
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"dataset": "Artefact segmentation in WSI",
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| Seismostorm example files | https://zenodo.org/record/7245119 | O. Debeir, T. Lecocq | October 24, 2022 | | Set of example images used for testing Seismostorm software The data are kindly provided by Royal Observatory of Belgium. (1985). Belgian Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/BE| CC-BY 4.0 |
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"location": "https://doi.org/10.5281/zenodo.3773097",
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|ULB17-VT| https://zenodo.org/record/2557535|O. Debeir, F. Almasri|February 5, 2019| |This dataset includes Thermal-Visual images with the same aligned geometry taking by FLIR-E60 camera. Images are of size (320 x 240) pixel resolution with 0.05◦C thermal sensitivity and −20◦C to 650◦C. Thermal images were extracted in their raw format and logged in 16-bit float per-pixel in one channel. The acquisition was made in different scenes and different environments (indoor and outdoor, during winter and summer and with static and moving objects). Thermal and RGB images were manually extracted and annotated with a total of 570 pairs in the original paper. Due to European regulations about data and privacy protection, Images shows identified faces were excluded from this published version. This published benchmark has 404 pair of images, divided into 280 training samples, 78 validation validation samples and 46 testing samples.|CC-BY 4.0 |
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"authors": "Diapath / Foucart",
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|ULB-VT.v2|https://zenodo.org/search?page=1&size=20&q=debeir| O. Debeir, F. Almasri | December 16, 2019 | |This dataset includes Thermal-Visual images with the same aligned geometry taking by FLIR-E60 camera. Images are of size (320 x 240) pixel resolution with 0.05◦C thermal sensitivity and −20◦C to 650◦C. Thermal images were extracted in their raw format and logged in 16-bit float per-pixel in one channel. The acquisition was made as a second version ULB17-VT with a total of 749 pairs of day acquisition and 24 pairs of night acquisition. Almasri, Feras, & Debeir, Olivier. (2019). ULB17-VT [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2557535 | CC-BY 4.0 |
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"date": "2020",
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|P. oceanica HE1 - 2015-07-09 12.07.23|https://zenodo.org/record/46395|J.P. Hermand, O. Debeir|February 22, 2016| |Original image acquired by the Hamamatsu slide scanner| CC-BY 4.0 | |
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"project": "Digital pathology / PhD Adrien",
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\ No newline at end of file |
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"description": "Whole-slide images with annotated artefacts",
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"license": "CC-BY-4.0"
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},
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{
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"dataset": "Gleason 2019",
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"location": "https://gleason2019.grand-challenge.org/",
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"authors": "Nir et al.",
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"date": "2019",
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"project": "Digital pathology / divers",
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"description": "Prostate cancer TMA with multi-expert annotations",
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"license": "Unspecified"
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},
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{
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"dataset": "MoNuSAC 2020",
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"location": "https://monusac-2020.grand-challenge.org/",
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"authors": "Verma et al.",
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"date": "2020",
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"project": "Digital pathology / divers",
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"description": "Multi-organ WSI regions with annotated nuclei (4 classes)",
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"license": "CC-BY-NC-SA 4.0"
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},
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{
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"dataset": "NuCLS",
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"location": "https://sites.google.com/view/nucls/home",
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"authors": "Amgad et al.",
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"date": "2022",
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"project": "Digital pathology / PhD Adrien",
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"description": "Breast cancer images with annotated nuclei (> 10 classes)",
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"license": "CC0 1.0"
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},
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{
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"dataset": "PTL01",
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"location": "\\\\LISANAS\\protherwal",
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"authors": "CMMI / Foucart / Elskens",
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"date": "2022-2023",
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"project": "Protherwal",
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"description": "µCT in-vivo / ex-vivo + WSI for mice with liver tumours",
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"license": "Unreleased"
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},
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{
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"dataset": "PTL02",
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"location": "\\\\LISANAS\\protherwal",
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"authors": "CMMI / Martens",
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"date": "2022",
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"project": "Protherwal",
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"description": "µCT / MR / Histo for mice brain",
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"license": "Unreleased"
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},
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{
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"dataset": "Marzhal",
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"location": "\\\\LISANAS\\protherwal",
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"authors": "Marzhal et al.",
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"date": "2021",
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"project": "Protherwal",
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"description": "WSI with landmarks for registration",
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"license": "Privately shared"
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},
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{
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"dataset": "ACROBAT",
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"location": "https://acrobat.grand-challenge.org/",
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"authors": "Weitz et al.",
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"date": "2022",
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"project": "Protherwal",
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"description": "WSI with landmarks for registration",
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"license": "Unspecified"
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},
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{
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"dataset": "TIGER",
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"location": "https://tiger.grand-challenge.org",
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"authors": "Radboud / Bordet",
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"date": "2022",
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"project": "Protherwal",
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"description": "Breast cancer WSI with semantic segmentation annotations",
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"license": "CC-BY-NC 4.0"
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},
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{
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"dataset": "Bandi",
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"location": "https://zenodo.org/record/3375528",
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"authors": "Bandi et al.",
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"date": "2019",
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"project": "Protherwhal",
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"description": "Sample WSIs (multi organ, multi stain) with annotations for tissue segmentation",
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"license": "CC-BY 4.0"
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},
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{
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"dataset": "Phase contrast microscopy sequence of U373 cells",
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"location": "https://zenodo.org/record/2535675",
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"authors": "O. Debeir",
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"date": "January 8, 2019",
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"project": "",
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"description": "Cell cultures in Falcon plastic dishes maintained at 37 C° were observed and recorded automatically every 4 min. The images were acquired under a phase-contrast microscope (Olympus, model IX50, magnification ratio 10:1), with a charge-coupled device video camera (Hitachi Denshi, modelKP-M1E/K-S10) coupled with an acquisition board (32-bits Matrix Vision PC-GRAB-GI frame grabber).The image dimensions are 700 500 pixels (with a pixel resolution of 0.92µm at the magnification ratio abovementioned) discretized on 256 gray levels (8 bits/pixel). The images are compressed using jpeg compression.",
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"license": "CC-BY 4.0"
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},
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{
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"dataset": "Seismostorm example files",
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"location": "https://zenodo.org/record/7245119",
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"authors": "O. Debeir, T. Lecocq",
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"date": "October 24, 2022",
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"project": "",
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"description": "Set of example images used for testing Seismostorm software The data are kindly provided by Royal Observatory of Belgium. (1985). Belgian Seismic Network [Data set]. International Federation of Digital Seismograph Networks. https://doi.org/10.7914/SN/BE",
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"license": "CC-BY 4.0"
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},
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{
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"dataset": "ULB17-VT",
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"location": "https://zenodo.org/record/2557535",
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"authors": "O. Debeir, F. Almasri",
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"date": "February 5, 2019",
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"project": "",
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"description": "This dataset includes Thermal-Visual images with the same aligned geometry taking by FLIR-E60 camera. Images are of size (320 x 240) pixel resolution with 0.05◦C thermal sensitivity and −20◦C to 650◦C. Thermal images were extracted in their raw format and logged in 16-bit float per-pixel in one channel. The acquisition was made in different scenes and different environments (indoor and outdoor, during winter and summer and with static and moving objects). Thermal and RGB images were manually extracted and annotated with a total of 570 pairs in the original paper. Due to European regulations about data and privacy protection, Images shows identified faces were excluded from this published version. This published benchmark has 404 pair of images, divided into 280 training samples, 78 validation validation samples and 46 testing samples.",
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"license": "CC-BY 4.0"
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},
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{
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"dataset": "ULB-VT.v2",
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"location": "https://zenodo.org/search?page=1&size=20&q=debeir",
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"authors": "O. Debeir, F. Almasri",
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"date": "December 16, 2019",
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"project": "",
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"description": "This dataset includes Thermal-Visual images with the same aligned geometry taking by FLIR-E60 camera. Images are of size (320 x 240) pixel resolution with 0.05◦C thermal sensitivity and −20◦C to 650◦C. Thermal images were extracted in their raw format and logged in 16-bit float per-pixel in one channel. The acquisition was made as a second version ULB17-VT with a total of 749 pairs of day acquisition and 24 pairs of night acquisition. Almasri, Feras, & Debeir, Olivier. (2019). ULB17-VT [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2557535",
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"license": "CC-BY 4.0"
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},
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{
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"dataset": "P. oceanica HE1 - 2015-07-09 12.07.23",
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"location": "https://zenodo.org/record/46395",
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"authors": "J.P. Hermand, O. Debeir",
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"date": "February 22, 2016",
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"project": "",
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"description": "Original image acquired by the Hamamatsu slide scanner",
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"license": "CC-BY 4.0"
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}
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],
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"filter": true
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}
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``` |
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\ No newline at end of file |
