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Breast Cancer Classification from Histopathological Images with
  Inception Recurrent Residual Convolutional Neural Network

Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

10 November 2018
Md. Zahangir Alom
C. Yakopcic
T. Taha
V. Asari
ArXiv (abs)PDFHTML

Papers citing "Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network"

20 / 20 papers shown
AdaptoVision: A Multi-Resolution Image Recognition Model for Robust and Scalable Classification
AdaptoVision: A Multi-Resolution Image Recognition Model for Robust and Scalable Classification
Md. Sanaullah Chowdhury Lameya Sabrin
VLM
264
1
0
17 Apr 2025
Comparative Analysis and Ensemble Enhancement of Leading CNN
  Architectures for Breast Cancer Classification
Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification
Gary Murphy
Raghubir Singh
155
6
0
04 Oct 2024
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution
  for Medical Image Classification
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification
Aryan Singh
Pepijn Van de Ven
Ciarán Eising
Patrick Denny
GNN
166
3
0
24 Jul 2023
Towards More Transparent and Accurate Cancer Diagnosis with an
  Unsupervised CAE Approach
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE ApproachIEEE Access (IEEE Access), 2023
Zahra Tabatabaei
Adrián Colomer
Javier Oliver Moll
Valery Naranjo
MedIm
227
8
0
19 May 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2023
Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
438
95
0
13 Apr 2023
Reduced Deep Convolutional Activation Features (R-DeCAF) in
  Histopathology Images to Improve the Classification Performance for Breast
  Cancer Diagnosis
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis
Bahareh Morovati
Reza Lashgari
M. Hajihasani
Hasti Shabani
126
21
0
05 Jan 2023
Computer-Aided Cancer Diagnosis via Machine Learning and Deep Learning:
  A comparative review
Computer-Aided Cancer Diagnosis via Machine Learning and Deep Learning: A comparative review
Solene Bechelli
203
5
0
19 Oct 2022
Domain Adaptation under Open Set Label Shift
Domain Adaptation under Open Set Label ShiftNeural Information Processing Systems (NeurIPS), 2022
Saurabh Garg
Sivaraman Balakrishnan
Zachary Chase Lipton
OODVLM
268
54
0
26 Jul 2022
Multiscale Analysis for Improving Texture Classification
Multiscale Analysis for Improving Texture ClassificationApplied Sciences (Appl. Sci.), 2022
S. Ataky
D. Saqui
Jonathan de Matos
A. Britto
Alessandro Lameiras Koerich
129
13
0
21 Apr 2022
Texture Characterization of Histopathologic Images Using Ecological
  Diversity Measures and Discrete Wavelet Transform
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform
S. Ataky
Alessandro Lameiras Koerich
114
2
0
27 Feb 2022
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A
  Comprehensive Review
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review
Subrato Bharati
Prajoy Podder
M. Rubaiyat Hossain Mondal
V. B. Surya Prasath
143
43
0
13 Jul 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
Pouya Hallaj Zavareh
Atefeh Safayari
Hamidreza Bolhasani
149
11
0
11 Jul 2021
Research on the Detection Method of Breast Cancer Deep Convolutional
  Neural Network Based on Computer Aid
Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer AidInternational Symposium on Parameterized and Exact Computation (IPEC), 2021
Mengfan Li
96
21
0
23 Apr 2021
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and
  Taxonomic Measures
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic MeasuresPattern Recognition (Pattern Recogn.), 2021
S. Ataky
Alessandro Lameiras Koerich
204
11
0
13 Feb 2021
MS-GWNN:multi-scale graph wavelet neural network for breast cancer
  diagnosis
MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosisIEEE International Symposium on Biomedical Imaging (ISBI), 2020
Mo Zhang
Shijie Zhao
209
15
0
29 Dec 2020
C-Net: A Reliable Convolutional Neural Network for Biomedical Image
  Classification
C-Net: A Reliable Convolutional Neural Network for Biomedical Image ClassificationExpert systems with applications (ESWA), 2020
H. Barzekar
Zeyun Yu
345
46
0
30 Oct 2020
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 NetworksIEEE Access (IEEE Access), 2020
Xiaomin Zhou
Chen Li
M. Rahaman
Yudong Yao
Shiliang Ai
Changhao Sun
Xiaoyan Li
Qian Wang
Tao Jiang
354
153
0
27 Mar 2020
Advanced Deep Learning Methodologies for Skin Cancer Classification in
  Prodromal Stages
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal StagesIrish Conference on Artificial Intelligence and Cognitive Science (AICS), 2020
Muhammad Ali Farooq
A. Khatoon
Viktor Varkarakis
Peter Corcoran
99
26
0
13 Mar 2020
OpenHI2 -- Open source histopathological image platform
OpenHI2 -- Open source histopathological image platform
Pargorn Puttapirat
Haichuan Zhang
Jingyi Deng
Yuxin Dong
Jiangbo Shi
Hongyu Hè
Zeyu Gao
Chunbao Wang
Xiangrong Zhang
Chen Li
VLM
83
4
0
15 Jan 2020
DeepHealth: Review and challenges of artificial intelligence in health
  informatics
DeepHealth: Review and challenges of artificial intelligence in health informatics
Gloria Hyunjung Kwak
Pan Hui
SyDa
211
26
0
01 Sep 2019
1
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