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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
Yinxi Wang
K. Kartasalo
Masi Valkonen
C. Larsson
Pekka Ruusuvuori
J. Hartman
M. Rantalainen
ArXiv (abs)PDFHTML

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
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
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
23
0
0
15 May 2024
Spatially Resolved Gene Expression Prediction from H&E Histology Images
  via Bi-modal Contrastive Learning
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
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
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
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
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
3DVMedIm
31
22
0
19 Apr 2021
1