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HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for
  Histopathological Image Classification

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification

1 July 2020
Pushpak Pati
Guillaume Jaume
Lauren Alisha Fernandes
A. Foncubierta
Florinda Feroce
A. Anniciello
G. Scognamiglio
N. Brancati
D. Riccio
Maurizio Do Bonito
G. De Pietro
G. Botti
O. Goksel
Jean-Philippe Thiran
Maria Frucci
M. Gabrani
ArXivPDFHTML

Papers citing "HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification"

18 / 18 papers shown
Title
Dynamic Graph Representation with Knowledge-aware Attention for
  Histopathology Whole Slide Image Analysis
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li
Yuxuan Chen
Hongbo Chu
Qiehe Sun
Tian Guan
Anjia Han
Yonghong He
40
27
0
12 Mar 2024
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
Jeongun Ryu
Aaron Valero Puche
Jaewoong Shin
Seonwook Park
Biagio Brattoli
...
S. Cho
K. Paeng
C-Y. Ock
D. Yoo
Sérgio Pereira
41
25
0
23 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
AI4CE
37
31
0
11 Mar 2023
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image
  Pyramids for Cancer Prognosis
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis
Pei Liu
Bo Fu
Feng Ye
Rui Yang
Bin Xu
Luping Ji
13
24
0
12 Jun 2022
A review of machine learning approaches, challenges and prospects for
  computational tumor pathology
A review of machine learning approaches, challenges and prospects for computational tumor pathology
Liangrui Pan
Zhichao Feng
Shaoliang Peng
AI4CE
27
7
0
31 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
45
25
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
33
12
0
17 Feb 2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for
  Transformer-Based Histopathological Image Classification
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Thomas Stegmüller
Behzad Bozorgtabar
A. Spahr
Jean-Philippe Thiran
ViT
MedIm
32
42
0
15 Feb 2022
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
N. Brancati
A. Anniciello
Pushpak Pati
D. Riccio
G. Scognamiglio
...
A. Foncubierta
G. Botti
M. Gabrani
Florinda Feroce
Maria Frucci
51
124
0
08 Nov 2021
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
HistoCartography: A Toolkit for Graph Analytics in Digital Pathology
Guillaume Jaume
Pushpak Pati
Valentin Anklin
A. Foncubierta
M. Gabrani
35
45
0
21 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
19
108
0
01 Jul 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels
  using Tissue Graphs
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Valentin Anklin
Pushpak Pati
Guillaume Jaume
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Jean-Philippe Thiran
M. Sibony
M. Gabrani
O. Goksel
59
38
0
04 Mar 2021
Quantifying Explainers of Graph Neural Networks in Computational
  Pathology
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume
Pushpak Pati
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Florinda Feroce
A. Anniciello
T. Rau
Jean-Philippe Thiran
M. Gabrani
O. Goksel
FAtt
26
76
0
25 Nov 2020
Towards Explainable Graph Representations in Digital Pathology
Towards Explainable Graph Representations in Digital Pathology
Guillaume Jaume
Pushpak Pati
A. Foncubierta-Rodríguez
Florinda Feroce
G. Scognamiglio
A. Anniciello
Jean-Philippe Thiran
O. Goksel
M. Gabrani
14
40
0
01 Jul 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jun Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
206
747
0
03 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal
  Cancer Histology Images
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou
S. Graham
Navid Alemi Koohbanani
Muhammad Shaban
Pheng-Ann Heng
Nasir M. Rajpoot
MedIm
32
173
0
03 Sep 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
337
10,633
0
19 Feb 2017
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