医学 AI - arXivDaily 专题

1810.00236 2018-10-23 cs.CV 57%

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Faisal Mahmood, Daniel Borders, Richard Chen, Gregory N. McKay, Kevan J. Salimian, Alexander Baras, Nicholas J. Durr

专题命中病理影像：pathology(abstract)；分类 cs.CV

1810.03075 2018-10-09 cs.CV 57%

Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection

Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray

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

1809.07475 2018-09-21 eess.SP 57%

Compact Low-Profile Wearable Antennas For Breast Cancer Detection

Hamad AlShehhi, Mariam Alzarouni, Noura AlYammahi, Raed Shubair, Nazar Ali

专题命中病理影像：diagnosis(abstract)；分类 eess.SP

Comments 78 pages, 44 figures

1808.08273 2018-08-28 cs.CV 57%

Improving Breast Cancer Detection using Symmetry Information with Deep Learning

Yeman Brhane Hagos, Albert Gubern Merida, Jonas Teuwen

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

Comments 8 pages, 7 figures, accepted in MICCAI 2018 Breast Image Analysis (BIA)

1804.09873 2018-08-21 cs.CV 57%

Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments See the final version published in Frontiers in Oncology here: https://www.frontiersin.org/articles/10.3389/fonc.2018.00240/full

1808.02355 2018-08-08 cs.CV 57%

Capturing global spatial context for accurate cell classification in skin cancer histology

Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew Blackledge, Yann Jamin, Yinyin Yuan

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted by MICCAI COMPAY 2018 workshop

1807.09607 2018-07-26 cs.CV 57%

Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images

Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilen

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted by MICCAI COMPAY 2018 Workshop

1802.08080 2018-07-26 cs.CV 57%

Classification of Breast Cancer Histology using Deep Learning

Aditya Golatkar, Deepak Anand, Amit Sethi

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 8 pages. Published at ICIAR 2018, Portugal

1807.01386 2018-07-05 eess.IV 57%

Optimal Spectral Sensitivity of Multispectral Filter Array for Pathological Images

Kazuma Shinoda, Maru Kawase, Madoka Hasegawa, Masahiro Ishikawa, Hideki Komagata, Naoki Kobayashi

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

Journal ref Image Electronics and Visual Computing Workshop (IEVC), 1P-10, Mar. 2017

1807.01385 2018-07-05 eess.IV 57%

Joint optimization of multispectral filter arrays and demosaicking for pathological images

Kazuma Shinoda, Maru Kawase, Madoka Hasegawa, Masahiro Ishikawa, Hideki Komagata, Naoki Kobayashi

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

Journal ref IIEEJ Transactions on Image Electronics and Visual Computing, Vol. 6, No. 1, pp. 13-21, Jun. 2018

1705.01015 2018-06-28 stat.ML cs.LG 57%

Deep Learning for Tumor Classification in Imaging Mass Spectrometry

Jens Behrmann, Christian Etmann, Tobias Boskamp, Rita Casadonte, Jörg Kriegsmann, Peter Maass

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments 10 pages, 5 figures

Journal ref Bioinformatics, 2018, Volume 34, Issue 7, Pages 1215-1223

1806.07686 2018-06-27 cs.CV 57%

Dynamic voting in multi-view learning for radiomics applications

Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 10 pages

1806.09090 2018-06-26 cs.CV 57%

Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images

Mousumi Roy, Fusheng Wang, George Teodoro, Miriam B Vos, Alton Brad Farris, Jun Kong

专题命中病理影像：pathology(abstract)；分类 cs.CV

1802.00752 2018-06-26 cs.CV 57%

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 8 pages, 4 figures

1806.08463 2018-06-25 cs.CV cs.AI 57%

TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading

Rene Bidart, Alexander Wong

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 9 pages

1806.01357 2018-06-08 cs.CV 57%

Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images

Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments Accepted to MICCAI 2018

1805.12067 2018-05-31 cs.CV 57%

A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer

Byungjae Lee, Kyunghyun Paeng

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted at MICCAI 2018

1805.11393 2018-05-30 cs.CV 57%

Robust Tumor Localization with Pyramid Grad-CAM

Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon

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

Comments 10 pages, 3 figures, conference

1805.05837 2018-05-16 eess.IV 57%

Comparing LBP, HOG and Deep Features for Classification of Histopathology Images

Taha J. Alhindi, Shivam Kalra, Ka Hin Ng, Anika Afrin, Hamid R. Tizhoosh

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

Comments Accepted for publication in proceedings of the IEEE World Congress on Computational Intelligence (IEEE WCCI), Rio de Janeiro, Brazil, 8-3 July, 2018

1805.03699 2018-05-11 cs.CV 57%

Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features

Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, Kazuaki Nakane, David Epstein, Nasir Rajpoot

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

1804.08170 2018-04-24 cs.CV 57%

A Deep Convolutional Neural Network for Lung Cancer Diagnostic

Mehdi Fatan Serj, Bahram Lavi, Gabriela Hoff, Domenec Puig Valls

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

Comments 10 pages, 5 figures, 2 tables

1804.06670 2018-04-19 cs.CV 57%

Active Learning for Breast Cancer Identification

Xinpeng Xie, Yuexiang Li, Linlin Shen

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

1804.01601 2018-04-06 cs.CV 57%

StainGAN: Stain Style Transfer for Digital Histological Images

M Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments Submitted to MICCAI 2018

1803.07240 2018-03-21 cs.CV 57%

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks

Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell

专题命中病理影像：pathology(abstract)；分类 cs.CV

1803.00386 2018-03-07 cs.CV 57%

Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images

Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir Rajpoot

专题命中病理影像：pathology(abstract)；分类 cs.CV

1802.09424 2018-02-27 cs.CV 57%

Classification of breast cancer histology images using transfer learning

Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas Maier

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 8 pages, Submitted to 15th International Conference on Image Analysis and Recognition (ICAIR 2018)

1708.03307 2018-02-22 cs.CV 57%

Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing

Yao Xue, Nilanjan Ray

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

1801.04880 2018-01-16 cs.CV 57%

Classification of histopathological breast cancer images using iterative VMD aided Zernike moments & textural signatures

Subhankar Chattoraj, Karan Vishwakarma

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments Working Paper

1712.08227 2017-12-25 eess.IV 57%

Analysis-synthesis model learning with shared features: a new framework for histopathological image classification

Xuelu Li, Vishal Monga, U. K. Arvind Rao

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

Comments 2018 ISBI conference accepted paper

1712.05021 2017-12-15 cs.CV 57%

Unsupervised Histopathology Image Synthesis

Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurc, Rajarsi R. Gupta, Joel H. Saltz

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

1. 病理影像 3461 篇

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection

Compact Low-Profile Wearable Antennas For Breast Cancer Detection

Improving Breast Cancer Detection using Symmetry Information with Deep Learning

Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning

Capturing global spatial context for accurate cell classification in skin cancer histology

Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images

Classification of Breast Cancer Histology using Deep Learning

Optimal Spectral Sensitivity of Multispectral Filter Array for Pathological Images

Joint optimization of multispectral filter arrays and demosaicking for pathological images

Deep Learning for Tumor Classification in Imaging Mass Spectrometry

Dynamic voting in multi-view learning for radiomics applications

Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

TriResNet: A Deep Triple-stream Residual Network for Histopathology Grading

Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images

A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer

Robust Tumor Localization with Pyramid Grad-CAM

Comparing LBP, HOG and Deep Features for Classification of Histopathology Images

Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features

A Deep Convolutional Neural Network for Lung Cancer Diagnostic

Active Learning for Breast Cancer Identification

StainGAN: Stain Style Transfer for Digital Histological Images

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks

Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images

Classification of breast cancer histology images using transfer learning

Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing

Classification of histopathological breast cancer images using iterative VMD aided Zernike moments & textural signatures

Analysis-synthesis model learning with shared features: a new framework for histopathological image classification

Unsupervised Histopathology Image Synthesis