Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review

27 November 2022

Papers citing "Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review"

4 / 4 papers shown

Title
Cellpose+, a morphological analysis tool for feature extraction of stained cell images Israel A. Huaman Fares D. E. Ghorabe Sofya S. Chumakova Alexandra A. Pisarenko Alexey E. Dudaev ... Galina A. Ryltseva Sviatlana A. Ulasevich Ekaterina I. Shishatskaya Ekaterina V. Skorb Pavel S. Zun 16 0 0 24 Oct 2024
Towards Hierarchical Regional Transformer-based Multiple Instance Learning Josef Cersovsky Sadegh Mohammadi Dagmar Kainmueller Johannes Hoehne ViT MedIm 9 3 0 24 Aug 2023
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 225 201 0 21 Oct 2021
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers C. Saillard Olivier Dehaene Tanguy Marchand O. Moindrot A. Kamoun B. Schmauch S. Jégou 32 39 0 13 Sep 2021