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Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images

Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images

Zhikang Wang
Yumeng Zhang
Yingxue Xu
S. Imoto
Hao Chen
Jiangning Song
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Papers citing "Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images"

9 / 9 papers shown
Title
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
Zizhi Chen
Minghao Han
Xukun Zhang
Shuwei Ma
Tao Liu
Xing Wei
Li Zhang
87
0
0
25 Mar 2025
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
55
280
0
22 Mar 2022
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhucheng Shao
Hao Bian
Yang Chen
Yifeng Wang
Jian Zhang
Xiangyang Ji
Yongbing Zhang
ViT
MedIm
59
650
0
02 Jun 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Taehyeon Kim
Jaehoon Oh
Nakyil Kim
Sangwook Cho
Se-Young Yun
25
232
0
19 May 2021
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Jiawen Yao
Xinliang Zhu
J. Jonnagaddala
Nicholas J Hawkins
Junzhou Huang
46
385
0
23 Sep 2020
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Richard J. Chen
Ming Y. Lu
Jingwen Wang
Drew F. K. Williamson
S. Rodig
N. Lindeman
Faisal Mahmood
46
405
0
18 Dec 2019
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
86
2,561
0
12 Dec 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
209
10,412
0
21 Jul 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
186
5,502
0
23 Nov 2015