Predicting molecular phenotypes from histopathology images: a
transcriptome-wide expression-morphology analysis in breast cancer

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer

18 September 2020

Pekka Ruusuvuori

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Papers citing "Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer"

7 / 7 papers shown

Title
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism Tianhang Nan Hao Quan Yong Ding Xingyu Li Kai Yang Xiaoyu Cui 44 0 0 29 Jul 2024
Deep Blur Multi-Model (DeepBlurMM) -- a strategy to mitigate the impact of image blur on deep learning model performance in histopathology image analysis Yujie Xiang Bojing Liu M. Rantalainen 21 0 0 15 May 2024
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning Ronald Xie K. Pang Sai W. Chung Catia T. Perciani Sonya A. MacParland Bo Wang Gary D. Bader 83 54 0 02 Jun 2023
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review Heather D. Couture 93 20 0 27 Nov 2022
ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology Philippe Weitz Masi Valkonen Leslie Solorzano Circe Carr K. Kartasalo ... Leena Latonen A. Laenkholm J. Hartman Pekka Ruusuvuori M. Rantalainen 78 10 0 24 Nov 2022
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification Hongrun Zhang Y. Meng Yitian Zhao Yihong Qiao Xiaoyun Yang Sarah E Coupland Yalin Zheng 115 296 0 22 Mar 2022
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks Philippe Weitz Yinxi Wang K. Kartasalo L. Egevad J. Lindberg Henrik Grönberg M. Eklund M. Rantalainen 3DV MedIm 31 22 0 19 Apr 2021