Collection RMS-Mutation-Prediction
Details
Subject Count: 403
Primary Site: Various
Image Modalities: SEG, SR, SM
Cancer Type(s): Rhabdomyosarcoma
Species: Human
Supporting Data: Clinical, Genomics, Software source code
DOIs
RMS-Mutation-Prediction original data:
Analysis Results:
- RMS-Mutation-Prediction-Expert-Annotations
10.5281/zenodo.10462857
Description
RMS is an aggressive soft tissue tumor which is associated with a broad range of pathological mutations. Multiple studies have identified recurrent mutations and chromosomal translocations which are associated with poor outcome in RMS patients. Since not all patients are screened for these mutations with molecular testing, there is a need to develop tools which accurately identify these alterations at diagnosis. Our study associated with these images applied deep learning with convolutional neural networks to learn mutation-associated histological features from H&E images from diagnostic RMS specimens.
Please see the RMS-Mutation-Prediction information page to learn more about the images and to obtain any supporting metadata for this collection.