15 datasets found

A dataset of 100,000 histological images of human colorectal cancer and healthy tissue.

A self-supervised learning method for learning histopathological patterns within cancerous tissue regions.

The CRC dataset contains images of colorectal cancer histology.

The dataset used in the paper for colorectal cancer histology, consisting of H&E stained whole slide images (WSIs) of different tissue types.

The dataset used in the paper for colorectal cancer histology, consisting of H&E stained whole slide images (WSIs) of different tissue types.

The dataset used in the paper for colorectal cancer histology, consisting of H&E stained whole slide images (WSIs) of different tissue types.

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.

Microscopic examination of tissues or histopathology is one of the diagnostic procedures for detecting colorectal cancer. The pathologist involved in such an examination usually...

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.

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...

The dataset is used for evaluation of colorectal cancer subtypes and cell lines.

WSSS4LUAD dataset, comprising tissue samples from lung and colon adenocarcinomas, divided into two distinct subsets: LC-lung and LC-colon.

CRC100K dataset, comprising 100K image patches derived from H&E stained histological images of both colorectal cancer and normal tissue.

The Lung Cancer part of the dataset LC25000 has 25,000 color images in 5 classes. Each class contains 5,000 images of the histologic categories: colon adenocarcinoma, benign...