Article

Using Attention-based Deep Learning to Predict ERG:TMPRSS2 Fusion Status in Prostate Cancer from Whole Slide Images

2022-11-20

Abstract excerpt

Prostate cancer (PCa) is associated with several genetic alterations which play an important role in the disease heterogeneity and clinical outcome including gene fusion between TMPRSS2 and members of the ETS family of transcription factors specially ERG. The expanding wealth of pathology whole slide images (WSIs) and the increasing adoption of deep learning (DL) approaches offer a unique opportunity for pathologi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 47f322d4-40b3-53f3-81b0-a8bca77bb03e
DOI: 10.1101/2022.11.18.517111

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Using Attention-based Deep Learning to Predict ERG:TMPRSS2 Fusion Status in Prostate Cancer from Whole Slide ImagesDOI 10.1101/2022.11.18.517111Read

Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancerSemantic proximity Read

Predicting gene expression from whole slide images in prostate cancer using deep learningSemantic proximity Read

Coreset Selection for Scalable and Efficient Prostate Cancer Grading in Digital PathologySemantic proximity Read

H&E-stained Whole Slide Image Deep Learning Predicts SPOP Mutation State in Prostate CancerSemantic proximity Read

Weakly supervised and transfer learning for adenocarcinoma classification in transurethral resection of the prostate whole slide imagesSemantic proximity Read

A Generalised Vision Transformer-Based Self-Supervised Model for Diagnosing and Grading Prostate Cancer Using Histological ImagesSemantic proximity Read

A progressive phased attention model fusing histopathology and genomic features for lung cancer stagingSemantic proximity Read

A systematic analysis of deep learning in genomics and histopathology for precision oncology.Semantic proximity Read

A generalised vision transformer-based self-supervised model for diagnosing and grading prostate cancer using histological imagesSemantic proximity Read

Deep learning framework for predicting EGFR mutation status from H&E whole slide images in lung adenocarcinoma.Semantic proximity Read

Pan-cancer image-based detection of clinically actionable genetic alterations.Semantic proximity Read

Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer.Semantic proximity Read