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Data-Efficient Histopathology Image Analysis with Deformation Representation Learning
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
◽
10.1109/bibm49941.2020.9313159
◽
2020
◽
Author(s):
Jilan Xu
◽
Junlin Hou
◽
Yuejie Zhang
◽
Rui Feng
◽
Chunyang Ruan
◽
...
Keyword(s):
Image Analysis
◽
Representation Learning
◽
Histopathology Image Analysis
Download Full-text
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Weakly Supervised Representation Learning for Endomicroscopy Image Analysis
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - Lecture Notes in Computer Science
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10.1007/978-3-030-00934-2_37
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2018
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pp. 326-334
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Cited By ~ 1
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Yun Gu
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Weakly Supervised
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Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis
Computational Biology - Automated Reasoning for Systems Biology and Medicine
◽
10.1007/978-3-030-17297-8_17
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2019
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pp. 453-469
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Author(s):
Dragan Bošnački
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Natal van Riel
◽
Mitko Veta
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Matrix cofactorization for joint representation learning and supervised classification – Application to hyperspectral image analysis
Neurocomputing
◽
10.1016/j.neucom.2019.12.068
◽
2020
◽
Vol 385
◽
pp. 132-147
Author(s):
Adrien Lagrange
◽
Mathieu Fauvel
◽
Stéphane May
◽
José Bioucas-Dias
◽
Nicolas Dobigeon
Keyword(s):
Image Analysis
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Supervised Classification
◽
Hyperspectral Image
◽
Representation Learning
◽
Hyperspectral Image Analysis
◽
Joint Representation
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Histopathology Image Analysis in Two Long-Term Animal Experiments with Helical Flow Total Artificial Heart
Artificial Organs
◽
10.1111/aor.12689
◽
2016
◽
Vol 40
(12)
◽
pp. 1137-1145
◽
Cited By ~ 2
Author(s):
Jiri Wotke
◽
Pavel Homolka
◽
Jaromír Vasku
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Petr Dobsak
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Petra Palanova
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...
Keyword(s):
Image Analysis
◽
Artificial Heart
◽
Animal Experiments
◽
Helical Flow
◽
Total Artificial Heart
◽
Histopathology Image Analysis
Download Full-text
A Digital Pathology application for whole-slide histopathology image analysis based on genetic algorithm and Convolutional Networks
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI)
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10.1109/la-cci.2016.7885738
◽
2016
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Cited By ~ 1
Author(s):
Mateo Puerto
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A Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Advances in Intelligent Systems and Computing - Information Technology in Biomedicine
◽
10.1007/978-3-030-23762-2_20
◽
2019
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pp. 222-233
◽
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Author(s):
Chen Li
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Dan Xue
◽
Zhijie Hu
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Hao Chen
◽
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...
Keyword(s):
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Image Analysis
◽
Deep Neural Networks
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Histopathology Image Analysis
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Histopathology Image Analysis and Classification Using ARMA Models: Application to Brain Cancer Detection
Current Medical Imaging Formerly Current Medical Imaging Reviews
◽
10.2174/1573405613666170427153750
◽
2017
◽
Vol 13
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◽
Cited By ~ 1
Author(s):
D. Vaishali
◽
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◽
C. Gomathy
◽
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Keyword(s):
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Cancer Detection
◽
Brain Cancer
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Arma Models
◽
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Deep learning based nuclei detection for quantitative histopathology image analysis
10.32469/10355/59855
◽
2016
◽
Author(s):
Laith Al-Zubaidi
Keyword(s):
Image Analysis
◽
Deep Learning
◽
Nuclei Detection
◽
Histopathology Image Analysis
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PathAL: An Active Learning Framework for Histopathology Image Analysis
IEEE Transactions on Medical Imaging
◽
10.1109/tmi.2021.3135002
◽
2021
◽
pp. 1-1
Author(s):
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◽
Jiayun Li
◽
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◽
Jennifer Polson
◽
Anthony E. Sisk
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...
Keyword(s):
Image Analysis
◽
Active Learning
◽
Learning Framework
◽
Histopathology Image Analysis
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Histopathology Image Analysis and Classification for Cancer Detection Using 2D Autoregressive Model
International Review on Computers and Software (IRECOS)
◽
10.15866/irecos.v10i2.5113
◽
2015
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Vol 10
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◽
pp. 182
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Cited By ~ 1
Author(s):
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J. Anita Christaline
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Cancer Detection
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Histopathology Image Analysis
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