医学 AI - arXivDaily 专题

1909.09945 2019-09-24 cs.CV 57%

To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?

Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell

专题命中病理影像：pathology(abstract)；分类 cs.CV

1808.00617 2019-09-04 eess.IV 57%

Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment

Mahdi S. Hosseini, Yueyang Zhang, Konstantinos N. Plataniotis

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

Comments 15 pages

1909.00311 2019-09-04 cs.LG stat.ML 57%

Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research

Prasanna Balaprakash, Romain Egele, Misha Salim, Stefan Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens

专题命中病理影像：diagnosis(abstract)；分类 cs.LG

Comments SC '19: IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis, November 17--22, 2019, Denver, CO

1905.08627 2019-08-26 cs.GR eess.IV 57%

BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes

Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland

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

Comments Accepted at the MICCAI Multimodal Brain Imaging Analysis (MBIA) workshop, 2019

1908.00206 2019-08-02 physics.med-ph eess.IV 57%

Meta-QSM: An Image-Resolution-Arbitrary Network for QSM Reconstruction

Juan Liu, Kevin M. Koch

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

1907.12382 2019-07-30 eess.IV 57%

Effect of Adding Probabilistic Zonal Prior in Deep Learning-based Prostate Cancer Detection

Matin Hosseinzadeh, Patrick Brand, Henkjan Huisman

专题命中病理影像：MRI(abstract)；分类 eess.IV

Comments MIDL 2019 [arXiv:1907.08612]

1907.11849 2019-07-30 cs.CV 57%

Genetic Deep Learning for Lung Cancer Screening

Hunter Park, Connor Monahan

专题命中病理影像：CT(abstract)；分类 cs.CV

1808.07954 2019-07-24 cs.CV 57%

From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities

Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Habib Benali

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

1906.09681 2019-06-28 cs.CV cs.AI 57%

Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted by MICCAI 2019

1811.03087 2019-06-20 cs.LG stat.ML 57%

Characterizing Well-Behaved vs. Pathological Deep Neural Networks

Antoine Labatie

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments Proceedings of ICML 2019 (with contact info updated and formatting issues fixed). Code available at https://github.com/alabatie/moments-dnns

1905.03700 2019-05-10 cs.CV cs.AI 57%

Unsupervised automatic classification of Scanning Electron Microscopy (SEM) images of CD4+ cells with varying extent of HIV virion infection

John M. Wandeto, Birgitta Dresp-Langley

专题命中病理影像：pathology(abstract)；分类 cs.CV

1809.05096 2019-05-08 cs.MA cs.AI cs.LG 57%

Negative Update Intervals in Deep Multi-Agent Reinforcement Learning

Gregory Palmer, Rahul Savani, Karl Tuyls

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments 11 Pages, 6 Figures, AAMAS2019 Conference Proceedings

1903.10762 2019-03-27 cs.CV 57%

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring

Talha Qaiser, Nasir M. Rajpoot

专题命中病理影像：pathology(abstract)；分类 cs.CV

1803.03562 2019-03-01 cs.CV 57%

An Integrated Inverse Space Sparse Representation Framework for Tumor Classification

Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 40 pages, 18 figures, 13 tables

1902.09977 2019-02-27 eess.SP 57%

Detection of Gait Asymmetry Using Indoor Doppler Radar

Ann-Kathrin Seifert, Abdelhak M. Zoubir, Moeness G. Amin

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

Comments 6 pages, 5 figures, 4 tables; accepted at the IEEE Radar Conference 2019, Boston, MA, USA

1901.03857 2019-01-15 cs.CV 57%

Deep-learning-based identification of odontogenic keratocysts in hematoxylin- and eosin-stained jaw cyst specimens

Kei Sakamoto, Kei-ichi Morita, Tohru Ikeda, Kou Kayamori

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

1901.01449 2019-01-08 cs.CV 57%

Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer

Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan

专题命中病理影像：CT(abstract)；分类 cs.CV

Comments Accepted by ISBI 2019

1812.08674 2018-12-21 stat.ML cs.LG 57%

A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network

Xi Chen, Jin Xie, Qingcong Yuan

专题命中病理影像：diagnosis(abstract)；分类 cs.LG

Comments 6 pages

1811.07818 2018-11-20 cs.CV 57%

Novel approach to locate region of interest in mammograms for Breast cancer

BV Divyashree, Amarnath R, Naveen M, G Hemantha Kumar

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

Comments ROI, breast cancer, mammographic images, segmentation, entropy, quad tree

Journal ref International Journal of Intelligent Systems and Applications in Engineering.(ISSN:2147-6799) Vol 6, No 3 (2018)

1810.13230 2018-11-20 cs.CV 57%

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin Kurc, Keyvan Farahani, Tianhao Zhao, Rajarsi Gupta, Jin Tae Kwak, Nasir Rajpoot, Joel Saltz

专题命中病理影像：pathology(abstract)；分类 cs.CV

1710.10547 2018-11-07 stat.ML cs.LG 57%

Interpretation of Neural Networks is Fragile

Amirata Ghorbani, Abubakar Abid, James Zou

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments Published as a conference paper at AAAI 2019

1810.09739 2018-10-24 cs.CV 57%

Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization

Joris Roels, Jan Aelterman, Jonas De Vylder, Hiep Luong, Yvan Saeys, Wilfried Philips

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

Comments 5 pages, 4 figures, EMBC 2016

1810.09369 2018-10-23 cs.CV 57%

Brain Tumor Image Retrieval via Multitask Learning

Maxim Pisov, Gleb Makarchuk, Valery Kostjuchenko, Alexandra Dalechina, Andrey Golanov, Mikhail Belyaev

专题命中病理影像：MRI(abstract)；分类 cs.CV

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

1. 病理影像 3453 篇

To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?

Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment

Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research

BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes

Meta-QSM: An Image-Resolution-Arbitrary Network for QSM Reconstruction

Effect of Adding Probabilistic Zonal Prior in Deep Learning-based Prostate Cancer Detection

Genetic Deep Learning for Lung Cancer Screening

From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities

Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Characterizing Well-Behaved vs. Pathological Deep Neural Networks

Unsupervised automatic classification of Scanning Electron Microscopy (SEM) images of CD4+ cells with varying extent of HIV virion infection

Negative Update Intervals in Deep Multi-Agent Reinforcement Learning

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring

An Integrated Inverse Space Sparse Representation Framework for Tumor Classification

Detection of Gait Asymmetry Using Indoor Doppler Radar

Deep-learning-based identification of odontogenic keratocysts in hematoxylin- and eosin-stained jaw cyst specimens

Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer

A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network

Novel approach to locate region of interest in mammograms for Breast cancer

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Interpretation of Neural Networks is Fragile

Bayesian Deconvolution of Scanning Electron Microscopy Images Using Point-spread Function Estimation and Non-local Regularization

Brain Tumor Image Retrieval via Multitask Learning

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