9 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...

Breast biopsy dataset for histopathological image classification

The C-NMC 2019 challenge dataset consists of segmented white blood cell images of 69 ALL cancer patients and 49 healthy subjects.

The Breast Cancer Wisconsin (Diagnostic) dataset is a collection of images of breast tissue, used for diagnostic purposes. The dataset consists of 569 images, each labeled with...

A dataset of 624 whole slide images (WSIs) of breast cancer from a Norwegian cohort.

The dataset is used for classification of histopathology images of lung cancer using Convolutional Neural Network (CNN).

The Breast Histopathology Images dataset is used for the diagnosis of Invasive Ductal Carcinoma (IDC) in breast cancer histopathology images.

The prostate cancer dataset used in the paper is a real dataset with 102 samples, 52 from prostate cancer tumors and 50 from healthy tissue.

A breast cancer malignancy classification dataset using dynamic contrast-enhanced MRI images