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A Comprehensive Review for Breast Histopathology Image Analysis Using
  Classical and Deep Neural Networks

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

27 March 2020
Xiaomin Zhou
Chen Li
M. Rahaman
Yudong Yao
Shiliang Ai
Changhao Sun
Xiaoyan Li
Qian Wang
Tao Jiang
ArXivPDFHTML

Papers citing "A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks"

22 / 22 papers shown
Title
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image
  Classification
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
Peijie Qiu
Pan Xiao
Wenhui Zhu
Yalin Wang
Aristeidis Sotiras
37
4
0
31 Oct 2023
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using
  Histopathology Images
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images
Md Ishtyaq Mahmud
M. Mamun
Ahmed Abdelgawad
17
14
0
11 Apr 2023
hist2RNA: An efficient deep learning architecture to predict gene
  expression from breast cancer histopathology images
hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images
Raktim Kumar Mondol
Ewan K. A. Millar
Peter H. Graham
Lois Browne
Arcot Sowmya
Erik H. W. Meijering
20
30
0
10 Apr 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical
  Attention-Guided Multiple Instance Learning for Whole Slide Image
  Classification
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong
Hao Chen
Joseph J. Y. Sung
Irwin King
MedIm
13
35
0
19 Jan 2023
IL-MCAM: An interactive learning and multi-channel attention
  mechanism-based weakly supervised colorectal histopathology image
  classification approach
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
Hao Chen
Chen Li
Xirong Li
M. Rahaman
Weiming Hu
...
Wanli Liu
Changhao Sun
Hongzan Sun
Xinyu Huang
M. Grzegorzek
HAI
25
99
0
07 Jun 2022
A Comparative Study of Gastric Histopathology Sub-size Image
  Classification: from Linear Regression to Visual Transformer
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer
Weiming Hu
Hao Chen
Wanli Liu
Xirong Li
Hongzan Sun
Xinyu Huang
M. Grzegorzek
Chen Li
28
14
0
25 May 2022
Application of Graph Based Features in Computer Aided Diagnosis for
  Histopathological Image Classification of Gastric Cancer
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer
Haiqing Zhang
Chen Li
Shiliang Ai
Hao Chen
Yuchao Zheng
Yixin Li
Xirong Li
Hongzan Sun
Xinyu Huang
M. Grzegorzek
15
1
0
17 May 2022
Application of Transfer Learning and Ensemble Learning in Image-level
  Classification for Breast Histopathology
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology
Yuchao Zheng
Chen Li
Xiaomin Zhou
Hao Chen
Hao Xu
...
Haiqing Zhang
Xirong Li
Hongzan Sun
Xinyu Huang
M. Grzegorzek
17
55
0
18 Apr 2022
An application of Pixel Interval Down-sampling (PID) for dense tiny
  microorganism counting on environmental microorganism images
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images
Jiawei Zhang
N. Xu
Chen Li
M. Rahaman
Yuhong Yao
Yu-Hao Lin
Jinghua Zhang
Tao Jiang
M. Grzegorzek
Wenjun Qin
17
7
0
04 Apr 2022
Breast cancer detection using artificial intelligence techniques: A
  systematic literature review
Breast cancer detection using artificial intelligence techniques: A systematic literature review
Ali Bou Nassif
M. A. Talib
Q. Nasir
Yaman Afadar
Omar A. Elgendy
17
192
0
08 Mar 2022
A Comprehensive Survey with Quantitative Comparison of Image Analysis
  Methods for Microorganism Biovolume Measurements
A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements
Jiawei Zhang
Chen Li
M. Rahaman
Yudong Yao
Pingli Ma
Jinghua Zhang
Xin Zhao
Tao Jiang
M. Grzegorzek
19
14
0
18 Feb 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
14
11
0
17 Feb 2022
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for
  Image Classification Evaluation
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation
Weiming Hu
Chen Li
Xirong Li
M. Rahaman
Yong Zhang
...
Yudong Yao
Hongzan Sun
N. Xu
Xinyu Huang
Marcin Grzegorze
24
19
0
17 Feb 2022
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from
  Simple Usage to Structure Mortification
A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification
Jian Wu
Wanli Liu
Chen Li
Tao Jiang
Islam Mohammad Shariful
Hongzan Sun
Xiaoqi Li
Xintong Li
Xinyu Huang
M. Grzegorzek
SSeg
3DV
24
13
0
14 Feb 2022
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis:
  A Comprehensive Review
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
Xiaoqi Li
Hao Chen
Chen Li
M. Rahaman
Xintong Li
Jian Wu
Xirong Li
Hongzan Sun
M. Grzegorzek
30
6
0
21 Jan 2022
Stain Normalized Breast Histopathology Image Recognition using
  Convolutional Neural Networks for Cancer Detection
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection
S. Krishna
Suganthi S.S
Shivsubramani Krishnamoorthy
Arnav V. Bhavsar
OOD
MedIm
10
5
0
04 Jan 2022
Applications of Artificial Neural Networks in Microorganism Image
  Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to
  Popular Convolutional Neural Network and Potential Visual Transformer
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer
Jinghua Zhang
Chen Li
Yi Yin
Jiawei Zhang
M. Grzegorzek
11
138
0
01 Aug 2021
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 Andrew Zhang
Xiangyang Ji
Yongbing Zhang
ViT
MedIm
15
625
0
02 Jun 2021
A State-of-the-art Survey of Object Detection Techniques in
  Microorganism Image Analysis: From Classical Methods to Deep Learning
  Approaches
A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: From Classical Methods to Deep Learning Approaches
Pingli Ma
Chen Li
M. Rahaman
Yudong Yao
Jiawei Zhang
Shuojia Zou
Xin Zhao
M. Grzegorzek
14
60
0
07 May 2021
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide
  Image Analysis:from Popular Convolutional Neural Networks to Potential Visual
  Transformers
A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers
Xintong Li
Xirong Li
Chen Li
M. Rahaman
Jian Wu
Xiaoqi Li
Yudong Yao
M. Grzegorzek
ViT
MedIm
22
43
0
13 Apr 2021
Machine Learning Methods for Histopathological Image Analysis: A Review
Machine Learning Methods for Histopathological Image Analysis: A Review
Jonathan de Matos
S. Ataky
A. Britto
L. S. Oliveira
Alessandro Lameiras Koerich
28
53
0
07 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
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