11 datasets found

Histopathological image analysis is an essential process for the discovery of diseases such as cancer. However, it is challenging to train CNN on whole slide images (WSIs) of...

A dataset of 90 Hematoxylin and Eosin (H&E) stained skin biopsy whole slide images (WSIs) from Stavanger University Hospital (SUH) in Norway.

Two publicly available WSI datasets named Camelyon16 and Camelyon17 for the automated detection of BCLNM in hematoxylin and eosin (H&E) stained WSIs of lymph node biopsies.

The Cancer Genome Atlas (TCGA) Lung Cancer dataset comprises two cancer subtypes: Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC). It includes diagnostic...

The dataset used in the paper for whole slide image (WSI) classification, which is a type of digital pathology. The dataset consists of histopathology and cytopathology images,...

The BRACS dataset is a public dataset for whole slide image analysis, containing 1,000 whole slide images of breast cancer histopathology slides.

The CAMELYON-16 dataset is a public dataset for whole slide image analysis, containing 16,000 whole slide images of breast cancer histopathology slides.

Hematoxylin and eosin-stained whole-slide images from Molecular and Cellular Oncology and The Cancer Genome Atlas were used as training and external validation datasets.

The TCGA-NSCLC dataset includes two sub-types of lung cancer, Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC).

The dataset used in this paper includes Whole Slide Images (WSIs) and reports (paired together) of celiac disease, lung cancer and colon cancer, collected from two hospitals:...

This dataset is composed of whole slide images of cervical biopsies.