医学 AI - arXivDaily 专题

2010.12575 2021-11-09 cs.CV cs.LG eess.IV 67%

Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images

Ponkrshnan Thiagarajan, Pushkar Khairnar, Susanta Ghosh

专题命中病理影像：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Published in IEEE Transactions on Medical Imaging

2106.08233 2021-10-27 cs.CV cs.LG eess.IV 67%

Spot the Difference: Detection of Topological Changes via Geometric Alignment

Steffen Czolbe, Aasa Feragen, Oswin Krause

专题命中病理影像：biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted to 35th Conference on Neural Information Processing Systems (NeurIPS 2021). Camera-ready version. code repository: https://github.com/SteffenCzolbe/TopologicalChangeDetection

2110.10242 2021-10-22 eess.IV cs.CV cs.LG 67%

A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images

Narges Norouzi, Reza Azmi, Nooshin Noshiri, Robab Anbiaee

专题命中病理影像：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 18 pages, 16 figures, 14 tables

2011.08001 2021-10-20 eess.IV cs.CV cs.LG 67%

Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment

Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey Winham, Emily F. Conant, Celine Vachon, Despina Kontos

专题命中病理影像：radiology(abstract)；分类 cs.CV、cs.LG、eess.IV

2108.02223 2021-08-29 eess.IV cs.CV cs.LG 67%

Adversarial learning of cancer tissue representations

Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Wisuwat Sunhem, Roderick Murray-Smith, Aristotelis Tsirigos, Ke Yuan

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted for publication at MICCAI 2021

2108.01625 2021-08-04 eess.IV cs.CV cs.LG math.AT math.ST stat.TH 67%

From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research

Wooseok Jung

专题命中病理影像：biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV

2107.09118 2021-07-27 eess.IV cs.CV cs.LG 67%

Confidence Aware Neural Networks for Skin Cancer Detection

Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 21 Pages, 7 Figures, 2 Tables

2106.14708 2021-06-29 eess.IV cs.CV cs.LG 67%

Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs

Peter Bokor, Lukas Hudec, Ondrej Fabian, Wanda Benesova

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 9 pages, 12 images, 3 tables with results, We have an intention to submit this paper to the current journal focused on computer methods/deep learning in biomedicine

2103.10626 2021-06-15 eess.IV cs.CV cs.LG 67%

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification

Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted at MIDL, 2021 - https://openreview.net/forum?id=7i1-2oKIELU

2102.12281 2021-05-28 eess.IV cs.CV cs.LG physics.optics 67%

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks

Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan

专题命中病理影像：biomedical(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 18 Pages, 7 Figures, 1 Table

Journal ref ACS Photonics (2021)

2104.00669 2021-04-02 eess.IV cs.CV cs.LG 67%

Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

Nima Hatami, Mohsin Bilal, Nasir Rajpoot

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

2103.07423 2021-03-15 eess.IV cs.CV cs.LG 67%

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh, Sasan Partovi, Niha Beig, Sean McGarry, Peter Laviolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari

专题命中病理影像：MRI(abstract)；分类 cs.CV、cs.LG、eess.IV

2012.09472 2020-12-18 eess.IV cs.CV cs.LG 67%

A new semi-supervised self-training method for lung cancer prediction

Kelvin Shak, Mundher Al-Shabi, Andrea Liew, Boon Leong Lan, Wai Yee Chan, Kwan Hoong Ng, Maxine Tan

专题命中病理影像：CT(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 23 pages, 6 figures

2009.01592 2020-10-07 eess.IV cs.CV cs.LG 67%

Multimodal brain tumor classification

Marvin Lerousseau, Eric Deutsh, Nikos Paragios

专题命中病理影像：radiology(abstract)；分类 cs.CV、cs.LG、eess.IV

2007.02248 2020-10-05 cs.CV cs.LG eess.IV 67%

CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space

Anik Khan, Kishor Datta Gupta, Deepak Venugopal, Nirman Kumar

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted in The 2020 International Joint Conference on Neural Networks (IJCNN 2020) At Glasgow (UK)

2009.07532 2020-09-21 eess.IV cs.CV cs.LG 67%

RCNN for Region of Interest Detection in Whole Slide Images

A Nugaliyadde, Kok Wai Wong, Jeremy Parry, Ferdous Sohel, Hamid Laga, Upeka V. Somaratne, Chris Yeomans, Orchid Foster

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments This paper was accepted to the 27th International Conference on Neural Information Processing (ICONIP 2020) and will be published in the Springer CCIS Series

2008.06072 2020-08-17 eess.IV cs.CV cs.LG 67%

MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction

Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2007.12578 2020-07-27 eess.IV cs.CV cs.LG 67%

Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning

Hanwen Liang, Konstantinos N. Plataniotis, Xingyu Li

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

2007.09610 2020-07-21 eess.IV cs.CV cs.LG 67%

Self-similarity Student for Partial Label Histopathology Image Segmentation

Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments ECCV 2020

2005.08096 2020-05-19 physics.med-ph 67%

TSA-inspired micro tomosythesis scanner for rapid scouting of histopathology samples

David T. Nguyen, Thomas C. Larsen, Muyang Wang, Russel H. Knutsen, Zhihong Yang, Eric E. Bennett, Dumitru Mazilu, Zu-Xi Yu, Xi Tao, Danielle R. Donahue, Ahmed Gharib, Christopher K. E. Bleck, Joel Moss, Beth A. Kozel, Alan T. Remaley, Han Wen

专题命中病理影像：CT(abstract)；pathology(abstract)

Comments 27 pages, 7 figures and 1 supplemental figure

2004.07399 2020-04-20 eess.IV cs.CV cs.LG 67%

Representation Learning of Histopathology Images using Graph Neural Networks

Mohammed Adnan, Shivam Kalra, Hamid R. Tizhoosh

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Published in CVMI at CVPR Workshops, 2020

2003.03295 2020-03-20 cs.CV cs.LG eess.IV 67%

Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer

Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted in ICLR 2020 workshop AI4AH(https://sites.google.com/view/ai4ah-iclr2020)

2003.03109 2020-03-09 eess.IV cs.CV cs.LG 67%

Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images

Jevgenij Gamper, Brandon Chan, Yee Wah Tsang, David Snead, Nasir Rajpoot

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments Accepted to Medical Imaging meets NeurIPS Workshop, Conference on Neural Information Processing Systems 2019, Vancouver

2002.12588 2020-03-02 eess.IV cs.CV cs.LG 67%

Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts

Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury, Valerie Koh Cui Koh, TimothyTay Kwang Yong, Hui Shan Tan, Ravindran Kanesvaran, Puay Hoon Tan, John Yuen Shyi Peng, Weimiao Yu, Yongcheng Benjamin Tan, Yong Zhen Loy, Min-Han Tan, Hwee Kuan Lee

专题命中病理影像：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

1911.08748 2019-11-21 eess.IV cs.CV cs.LG 67%

Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Images

S. Kalra, C. Choi, S. Shah, L. Pantanowitz, H. R. Tizhoosh

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

1910.06428 2019-10-16 cs.CV cs.AI cs.LG eess.IV 67%

Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks

Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

1909.04596 2019-09-11 cs.LG cs.CV eess.IV stat.ML 67%

Prediction of Overall Survival of Brain Tumor Patients

Rupal Agravat, Mehul S Raval

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 5 pages, IEEE TENCON 2019

1908.10555 2019-08-29 eess.IV cs.CV cs.LG 67%

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu

专题命中病理影像：diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments 10 pages, 9 figures, accepted by ICCV 2019

1908.00907 2019-08-05 eess.IV cs.CV cs.LG 67%

ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images

Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan

专题命中病理影像：pathology(abstract)；分类 cs.CV、cs.LG、eess.IV

Comments MICCAI2019 accepted, 3 figures,8.5 pages

1812.11006 2018-12-31 eess.IV cs.CV cs.LG stat.ML 67%

TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set

Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked

专题命中病理影像：medical image(abstract)；分类 cs.CV、cs.LG、eess.IV

1. 病理影像 3459 篇

Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images

Spot the Difference: Detection of Topological Changes via Geometric Alignment

A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images

Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment

Adversarial learning of cancer tissue representations

From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research

Confidence Aware Neural Networks for Skin Cancer Detection

Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs

Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks

Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

A new semi-supervised self-training method for lung cancer prediction

Multimodal brain tumor classification

CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space

RCNN for Region of Interest Detection in Whole Slide Images

MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction

Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning

Self-similarity Student for Partial Label Histopathology Image Segmentation

TSA-inspired micro tomosythesis scanner for rapid scouting of histopathology samples

Representation Learning of Histopathology Images using Graph Neural Networks

Heterogeneity Loss to Handle Intersubject and Intrasubject Variability in Cancer

Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images

Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts

Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Images

Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks

Prediction of Overall Survival of Brain Tumor Patients

CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation

ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images

TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set