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100,000 histological images of human colorectal cancer and healthy tissue
A dataset of 100,000 histological images of human colorectal cancer and healthy tissue. -
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal...
A self-supervised learning method for learning histopathological patterns within cancerous tissue regions. -
Self-Rule to Multi-Adapt
The dataset used in the paper for colorectal cancer tissue detection, consisting of H&E stained whole slide images (WSIs) of different tissue types. -
Multi-class texture analysis in colorectal cancer histology
Multi-class texture analysis in colorectal cancer histology. -
CRC dataset
Microscopic examination of tissues or histopathology is one of the diagnostic procedures for detecting colorectal cancer. The pathologist involved in such an examination usually... -
SEER dataset
The dataset used in this paper is a collection of patient data from the SEER database, including variables such as age, gender, grade, and treatment information. -
Colorectal Liver Metastases Survival Prediction Dataset
The dataset used in this paper is a collection of histological slides stained with Hematoxylin and Eosin (H&E) and Hematoxylin Phloxine Saffron (HPS) for colorectal liver... -
Evaluation of colorectal cancer subtypes and cell lines
The dataset is used for evaluation of colorectal cancer subtypes and cell lines.
