11 datasets found

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

The dataset used in this paper is a collection of lung cancer pathology images and brain tumor MRI images.

The dataset used in this paper is a collection of lung cancer pathology images and brain tumor MRI images.

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.

LUNA16 dataset is a subset of the largest public dataset for pulmonary nodules, the LIDC-IDRI dataset.

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...

SynthLC models lung cancer patient data. Each patient has the following attributes: Age category Sex Smoking habit Comorbidities Biomarkers Drugs taken Relapse The attribute...