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Objective Diagnosis for Histopathological Images Based on Machine
  Learning Techniques: Classical Approaches and New Trends

Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends

10 November 2020
Naira Elazab
Hassan H. Soliman
Shaker El-Sappagh
S. Islam
Mohammed M Elmogy
ArXivPDFHTML

Papers citing "Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends"

27 / 27 papers shown
Title
Generative Adversarial Networks in Digital Pathology: A Survey on Trends
  and Future Potential
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
M. Tschuchnig
G. Oostingh
M. Gadermayr
MedIm
AI4CE
GAN
69
90
0
30 Apr 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
97
577
0
28 Dec 2019
An attention-based multi-resolution model for prostate whole slide
  imageclassification and localization
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
Jiayun Li
Wenyuan Li
Arkadiusz Gertych
Beatrice Knudsen
W. Speier
C. Arnold
106
36
0
30 May 2019
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for
  Breast Cancer Metastasis Analysis
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
Zixu Zhao
Huangjing Lin
Hao Chen
Pheng-Ann Heng
46
27
0
03 May 2019
Quantifying the effects of data augmentation and stain color
  normalization in convolutional neural networks for computational pathology
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez
G. Litjens
Péter Bándi
W. Bulten
J. Bokhorst
F. Ciompi
Jeroen van der Laak
MedIm
OOD
50
484
0
18 Feb 2019
Pathologist-level classification of histologic patterns on resected lung
  adenocarcinoma slides with deep neural networks
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
Jason W. Wei
L. Tafe
Yevgeniy A. Linnik
L. Vaickus
Naofumi Tomita
Saeed Hassanpour
MedIm
57
259
0
31 Jan 2019
Development and Validation of a Deep Learning Algorithm for Improving
  Gleason Scoring of Prostate Cancer
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer
K. Nagpal
Davis Foote
Yun-Hui Liu
Po-Hsuan Cameron Chen
Chen
...
A. Evans
A. Sangoi
C. Mermel
J. Hipp
Martin C. Stumpe
44
410
0
15 Nov 2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a
  Reference to Train Distilled Stain-Invariant Convolutional Networks
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
David Tellez
M. Balkenhol
I. Otte-Höller
Rob van de Loo
R. Vogels
...
S. Mol
N. Karssemeijer
G. Litjens
J. A. van der Laak
F. Ciompi
53
244
0
17 Aug 2018
Multi-Resolution Networks for Semantic Segmentation in Whole Slide
  Images
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images
Feng Gu
Nikolay Burlutskiy
Mats Andersson
Lena Kajland Wilén
SSeg
45
37
0
25 Jul 2018
Unsupervisedly Training GANs for Segmenting Digital Pathology with
  Automatically Generated Annotations
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
M. Gadermayr
Laxmi Gupta
B. Klinkhammer
P. Boor
Dorit Merhof
GAN
MedIm
50
21
0
25 May 2018
Unsupervised Prostate Cancer Detection on H&E using Convolutional
  Adversarial Autoencoders
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders
W. Bulten
G. Litjens
44
25
0
19 Apr 2018
Replication study: Development and validation of deep learning algorithm
  for detection of diabetic retinopathy in retinal fundus photographs
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
M. Voets
Kajsa Møllersen
L. A. Bongo
41
177
0
12 Mar 2018
Convolutional Neural Networks for Histopathology Image Classification:
  Training vs. Using Pre-Trained Networks
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks
Brady Kieffer
Morteza Babaie
Shivam Kalra
H. R. Tizhoosh
38
124
0
11 Oct 2017
Machine learning methods for histopathological image analysis
Machine learning methods for histopathological image analysis
D. Komura
S. Ishikawa
48
696
0
04 Sep 2017
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel
  Histology Images
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
Abhinav Agarwalla
Muhammad Shaban
Nasir M. Rajpoot
49
19
0
27 Jul 2017
Classification and Retrieval of Digital Pathology Scans: A New Dataset
Classification and Retrieval of Digital Pathology Scans: A New Dataset
Morteza Babaie
Shivam Kalra
A. Sriram
Christopher Mitcheltree
Shujin Zhu
Seyed Amin Khatami
Shahryar Rahnamayan
H. R. Tizhoosh
50
50
0
22 May 2017
Context-aware stacked convolutional neural networks for classification
  of breast carcinomas in whole-slide histopathology images
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
G. Zuidhof
M. Balkenhol
M. Hermsen
P. Bult
Bram van Ginneken
N. Karssemeijer
G. Litjens
Jeroen van der Laak
137
162
0
10 May 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
169
2,878
0
14 Mar 2017
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
604
10,759
0
19 Feb 2017
Visualizing Deep Neural Network Decisions: Prediction Difference
  Analysis
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
L. Zintgraf
Taco S. Cohen
T. Adel
Max Welling
FAtt
132
707
0
15 Feb 2017
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Jianxu Chen
C. Srinivas
59
31
0
09 Dec 2016
Deep Learning Assessment of Tumor Proliferation in Breast Cancer
  Histological Images
Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images
Manan A. Shah
Christopher A. Rubadue
D. Suster
Dayong Wang
41
40
0
11 Oct 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng-Ann Heng
MedIm
65
580
0
10 Apr 2016
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest
K. Sirinukunwattana
J. Pluim
Hao Chen
Xiaojuan Qi
Pheng-Ann Heng
...
Philipp Kainz
Michael Pfeiffer
M. Urschler
David R. J. Snead
Nasir M. Rajpoot
88
794
0
01 Mar 2016
Texture measures combination for improved meningioma classification of
  histopathological images
Texture measures combination for improved meningioma classification of histopathological images
Omar Sultan Al-Kadi
33
101
0
25 Dec 2015
Evaluating the visualization of what a Deep Neural Network has learned
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
XAI
132
1,191
0
21 Sep 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.6K
76,917
0
18 May 2015
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