{"collection_id":"rms_mutation_prediction","collection_name":"RMS-Mutation-Prediction","cancer_types":"Rhabdomyosarcoma","tumor_locations":"Various","species":"Human","subjects":403,"supporting_data":"Clinical, Genomics, Software source code","description":"RMS is an aggressive soft tissue tumor which is associated with a broad range of pathological\nmutations. Multiple studies have identified recurrent mutations and chromosomal translocations which\nare associated with poor outcome in RMS patients. Since not all patients are screened for these\nmutations with molecular testing, there is a need to develop tools which accurately identify these\nalterations at diagnosis. Our study associated with these images applied deep learning with\nconvolutional neural networks to learn mutation-associated histological features from H&E images\nfrom diagnostic RMS specimens.\nPlease see the RMS-Mutation-Prediction (https://doi.org/10.5281/zenodo.8225131) information page\nto learn more about the images and to obtain any supporting metadata for this collection.","patients":403,"studies":403,"series":612,"instances":3160,"size_TB":3.378,"modalities":["SEG","SM","SR"],"licenses":[{"license_short_name":"CC BY 4.0","series":612,"size_TB":3.378}]}