10 datasets found

A dataset containing samples from several patients with lung cancer.

The dataset used for testing the proposed deep learning pipeline for tumor detection, histological subtyping, and EGFR mutation prediction from whole slide images (WSIs) of lung...

The dataset used for training and testing the proposed deep learning pipeline for tumor detection, histological subtyping, and EGFR mutation prediction from whole slide images...

The dataset contains clinical text from Spanish clinical narratives for lung cancer domain.

The dataset is used for multi-omics analysis in lung cancer.

The dataset used in this study for early lung cancer screening support combining low-dose CT-based radiomics and metabolomics.

The lung cancer dataset collects samples from 27 patients, and measures 31 proteins per cell.

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

The dataset used in this study was obtained from two hospitals, including a total of 483 pulmonary nodules collected from 426 patients.

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...