The Cancer Genome Atlas (TCGA)
Search and visualize data from The Cancer Genome Atlas (TCGA) collections to investigate cancer phenotypes which may correlate to corresponding genomic and clinical data.Search
National Lung Screening Trial
This collection contains subjects from a randomized controlled clinial trial of screening tests for lung cancer conducted by the National Lung Screening Trial (NLST), between August 2002 and April 2004.
The osteosarcoma dataset is composed of digitized Hematoxylin and eosin (H&E) stained osteosarcoma histology images from adolescents. The data was collected by a team of clinical scientists at University of Texas Southwestern Medical Center, Dallas.
This collection comprises a total of 28 3 Tesla T1-weighted, T2-weighted, Diffusion weighted and Dynamic Contrast Enhanced prostate MRI along with accompanying digitized histopathology (H&Estained) images of corresponding radical prostatectomy specimens.
Osteosarcoma Tumor Assessment
The dataset is composed of Hematoxylin and eosin (H&E) stained osteosarcoma histology images. The dataset consists of 1144 images of size 1024 X 1024 at 10X resolution with the following distribution: 536 (47%) non-tumor images, 263 (23%) necrotic tumor images and 345 (30%) viable tumor tiles.
This is the first attempt of mapping the extent of Invasive Adenocarcinoma onto in vivo lung CT. The mappings constitute ground truth of disease and may be used to further investigate the imaging signatures of Invasive Adenocarcinoma in ground glass pulmonary nodules. Data collection and analysis was provided by Case Western Reserve University.
The Munich AML Morphology Dataset contains 18,365 expert-labeled single-cell images taken from patients diagnosed with Acute Myeloid Leukemia at Munich University Hospital. The dataset has been used by the authors to train a convolutional neural network for single-cell morphology classification.
The Post-NAT-BRCA dataset is a collection of representative sections from breast resections in patients with residual invasive BC following NAT. Histologic sections were prepared and digitized to produce high resolution, microscopic images of treated BC tumors.
The dataset consists of 130 de-identified whole slide images of H&E stained axillary lymph node specimens from 78 patients. Metastatic breast carcinoma is present in 36 of the WSI from 27 patients.
Acute lymphoblastic leukemia (ALL) constitutes approximately 25% of the pediatric cancers. In general, the task of identifying immature leukemic blasts from normal cells under the microscope is challenging because morphologically the images of the two cells appear similar.
Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with multiple myeloma as per the standard guidelines. Slides were stained using Jenner- Giemsa stain. This dataset consists of 85 images. All these 85 images were stain normalized using our in-house methodology before being used for segmentation.
Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with B-lineage Acute Lymphoid Leukemia (B-ALL) and Multiple Myeloma (MM) as per the standard guidelines. This dataset consists of 90 images of B-ALL and 100 images of MM.
This data collection consists of MRI/CT scan data for brain tumor patients that form the cohort for the resource Ivy Glioblastoma Atlast Project (Ivy GAP). There are 390 studies for 39 patients that include pre-surgery, post-surgery and follow up scans.