- P
CoNSeP Dataset
- paperswithcode.com
Updated Sep 13, 2023
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteSimon Graham; Quoc Dang Vu; Shan E Ahmed Raza; Ayesha Azam; Yee Wah Tsang; Jin Tae Kwak; Nasir Rajpoot (2023). CoNSeP Dataset [Dataset]. https://paperswithcode.com/dataset/consepDataset updatedSep 13, 2023AuthorsSimon Graham; Quoc Dang Vu; Shan E Ahmed Raza; Ayesha Azam; Yee Wah Tsang; Jin Tae Kwak; Nasir RajpootDescriptionThe colorectal nuclear segmentation and phenotypes (CoNSeP) dataset consists of 41 H&E stained image tiles, each of size 1,000×1,000 pixels at 40× objective magnification. The images were extracted from 16 colorectal adenocarcinoma (CRA) WSIs, each belonging to an individual patient, and scanned with an Omnyx VL120 scanner within the department of pathology at University Hospitals Coventry and Warwickshire, UK.
- O
CoNSeP (Colorectal Nuclear Segmentation and Phenotypes)
- opendatalab.com
zipUpdated Nov 30, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteUniversity Hospitals Coventry & Warwickshire (2022). CoNSeP (Colorectal Nuclear Segmentation and Phenotypes) [Dataset]. https://opendatalab.com/OpenDataLab/CoNSePzip(806481085 bytes)Available download formatsDataset updatedNov 30, 2022Dataset provided byUniversity of Warwick
Cancer Research Institute London UK
University Hospitals Coventry & WarwickshireDescriptionThe colorectal nuclear segmentation and phenotypes (CoNSeP) dataset consists of 41 H&E stained image tiles, each of size 1,000×1,000 pixels at 40× objective magnification. The images were extracted from 16 colorectal adenocarcinoma (CRA) WSIs, each belonging to an individual patient, and scanned with an Omnyx VL120 scanner within the department of pathology at University Hospitals Coventry and Warwickshire, UK.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailThe colorectal nuclear segmentation and phenotypes (CoNSeP) dataset consists of 41 H&E stained image tiles, each of size 1,000×1,000 pixels at 40× objective magnification. The images were extracted from 16 colorectal adenocarcinoma (CRA) WSIs, each belonging to an individual patient, and scanned with an Omnyx VL120 scanner within the department of pathology at University Hospitals Coventry and Warwickshire, UK.