22 datasets found

A dataset of hyperspectral Raman images of MDA-MB-231 breast cancer cells.

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

SEER data

DLBCL data

The Messenger RNA data (mRNA) [26], which includes eight cancer types. Each patient is represented by 19171 binary features; see Table 1. (ii) The micro-RNA data (miRNA) that...

96 high-grade serous ovarian cancer samples and 96 endometrial endometrial cancer samples collected at Memorial Sloan Kettering Cancer Center between 2000 and 2012.

The dataset used in this paper is a collection of tumor size measurements along time in three groups of mice: a control group, a group treated with ACT therapy, and a group...

The dataset used in the paper is a subset of the TCGA dataset, containing 11754 whole slide images of tissue samples from various types of cancer.

The dataset used for ovarian cancer subtyping using attention-based multiple instance learning.

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 this study is from the Brain Tumor Radiogenomic Classification challenge (Baid et al., 2021) that includes multi-parametric MRI (mpMRI) scans for 585...

The dataset D = {XS, XI, XB, YR, (cid:126)yG} consists of five parts, where XS ∈ R304×300 denotes drugs’ SMILES vector representations, XI ∈ R117×294 denotes drugs’ inhibition...

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.

PET-CT images of NSCLC patients who received SBRT at the University of Iowa Hospitals and Clinics were investigated in this study.

A collection of high-resolution 2D microscopy images from various sources, including The Cancer Genome Atlas (TCGA), The Digital Brain Tumor Atlas (DBTA), and OpenSRH.

The NCI dataset is a biological dataset used for anticancer activity classification.

The NIH-Lymph Node (NIH-LN) dataset includes 176 chest-abdomen-pelvis CT scans.

The TCGA-HN cohort is a publicly available dataset which comprises 450 diagnostic H&E WSI of squamous cell carcinoma (SCC) cases from different sites of the head and neck...

The dataset used in the paper is a collection of RNA-Seq gene expression profiles from human tissue.

The dataset used in the paper is a collection of gene expression profiles from cancer cells, as well as a collection of bioactive small molecules.