医学 AI - arXivDaily 专题

2008.06916 2020-10-28 eess.IV physics.med-ph 57%

Virtual brightfield and fluorescence staining for Fourier ptychography via unsupervised deep learning

Ruihai Wang, Pengming Song, Shaowei Jiang, Chenggang Yan, Jiakai Zhu, Chengfei Guo, Zichao Bian, Tianbo Wang, Guoan Zheng

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

1909.00719 2020-10-26 stat.ML cs.LG 57%

On the Expressiveness of Approximate Inference in Bayesian Neural Networks

Andrew Y. K. Foong, David R. Burt, Yingzhen Li, Richard E. Turner

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments NeurIPS 2020 version

2010.05508 2020-10-13 cs.CV 57%

Implicit Subspace Prior Learning for Dual-Blind Face Restoration

Lingbo Yang, Pan Wang, Zhanning Gao, Shanshe Wang, Peiran Ren, Siwei Ma, Wen Gao

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments TPAMI submission

2010.03130 2020-10-08 stat.ML cs.LG 57%

Computational analysis of pathological image enables interpretable prediction for microsatellite instability

Jin Zhu, Wangwei Wu, Yuting Zhang, Shiyun Lin, Yukang Jiang, Ruixian Liu, Xueqin Wang

专题命中病理影像：diagnosis(abstract)；分类 cs.LG

2009.13913 2020-09-30 eess.IV physics.bio-ph 57%

Denoising convolutional neural networks for photoacoustic microscopy

Xianlin Song, Kanggao Tang, Jianshuang Wei, Lingfang Song

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

2009.10010 2020-09-22 physics.med-ph eess.IV 57%

Reflection-mode virtual histology using photoacoustic remote sensing microscopy

Kevan Bell, Saad Abbasi, Deepak Dinakaran, Muba Taher, Gilbert Bigras, Frank K. H. van Landeghem, John R. Mackey, Parsin Haji Reza

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

Comments 32 pages, 11 figures, includes Supplementary Information section

2009.03689 2020-09-09 eess.IV physics.med-ph 57%

Synthetic multi-focus optical-resolution photoacoustic microscope for large volumetric imaging

Xianlin Song, Jianshuang Wei, Lingfang Song

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

Comments arXiv admin note: substantial text overlap with arXiv:2009.01840

2009.03223 2020-09-08 eess.IV physics.data-an 57%

Information: to Harvest, to Have and to Hold

Marin van Heel, Michael Schatz

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

Comments 43 pages, 10 Figures

2009.01840 2020-09-07 eess.IV physics.med-ph physics.optics 57%

Computed extended depth of field optical-resolution photoacoustic microscope

Xianlin Song, Jianshuang Wei, Lingfang Song

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

2008.13013 2020-09-01 cs.CV 57%

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan Yuille, Min Sun, Le Lu, Dakai Jin

专题命中病理影像：CT(abstract)；分类 cs.CV

Comments Accepted to MICCAI 2020

2006.08610 2020-08-18 physics.med-ph eess.IV physics.optics 57%

Autofocusing technologies for whole slide imaging and automated microscopy

Zichao Bian, Chengfei Guo, Shaowei Jiang, Jiakai Zhu, Ruihai Wang, Pengming Song, Zibang Zhang, Kazunori Hoshino, Guoan Zheng

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

2008.01572 2020-08-05 cs.CL cs.AI cs.LG 57%

Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports

Abhishek K Dubey, Alina Peluso, Jacob Hinkle, Devanshu Agarawal, Zilong Tan

专题命中病理影像：pathology(abstract)；分类 cs.LG

2007.14527 2020-07-30 cs.LG cs.NA math.NA stat.ML 57%

When and why PINNs fail to train: A neural tangent kernel perspective

Sifan Wang, Xinling Yu, Paris Perdikaris

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments 29 pages, 8 figures

1910.00091 2020-06-24 cs.LG cs.AI cs.MA 57%

Deep Coordination Graphs

Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments Accepted at ICML 2020

2006.08114 2020-06-16 physics.optics eess.IV 57%

Super-resolved multispectral lensless microscopy via angle-tilted, wavelength-multiplexed ptychographic modulation

Pengming Song, Ruihai Wang, Jiakai Zhu, Tianbo Wang, Zichao Bian, Zibang Zhang, Kazunori Hoshino, Michael Murphy, Shaowei Jiang, Chengfei Guo, Guoan Zheng

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

2006.03800 2020-06-09 cs.CV 57%

Extracting Cellular Location of Human Proteins Using Deep Learning

Hanke Chen

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

Comments 5 page, 10 figures

2005.02066 2020-05-06 cs.CV 57%

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted by CVPR2020

2002.03358 2020-04-20 eess.IV physics.optics 57%

EM based Framework for Single-shot Compressive Holography

Sanjeev Kumar, Manjunatha Mahadevappa, Pranab Kumar Dutta

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

2004.05838 2020-04-14 cs.HC eess.IV 57%

Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slides

Christian Marzahl, Christof A. Bertram, Marc Aubreville, Anne Petrick, Kristina Weiler, Agnes C. Gläsel, Marco Fragoso, Sophie Merz, Florian Bartenschlager, Judith Hoppe, Alina Langenhagen, Anne Jasensky, Jörn Voigt, Robert Klopfleisch, Andreas Maier

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

Comments 10 pages, send to MICCAI 2020

2001.08986 2020-01-27 physics.optics eess.IV physics.bio-ph 57%

Endo-microscopy beyond the Abbe and Nyquist limits

Lyubov V. Amitonova, Johannes F. de Boer

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

Comments 22 pages, 6 figures, supplementary materials included

2001.02585 2020-01-22 cs.LG stat.ML 57%

Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes

Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar

专题命中病理影像：pathology(abstract)；分类 cs.LG

2001.05606 2020-01-17 physics.optics eess.IV 57%

Full field-of-view multi-targets imaging through scattering beyond 3D optical memory effect

Wei Li, Jietao Liu, Shunfu He, Lixian Liu, Xiaopeng Shao

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

Comments 6 pages, 7 figures, with appendix

1904.04429 2020-01-09 cs.CV 57%

Label Super Resolution with Inter-Instance Loss

Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin Kurc, Rajarsi Gupta, Kolya Malkin, Shroyer Kenneth, Joel Saltz

专题命中病理影像：pathology(abstract)；分类 cs.CV

1808.09679 2020-01-09 cs.CV 57%

Image-based Survival Analysis for Lung Cancer Patients using CNNs

Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof

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

1912.03446 2019-12-30 eess.IV physics.ins-det 57%

OpenWSI: a low-cost, high-throughput whole slide imaging system via single-frame autofocusing and open-source hardware

Chengfei Guo, Zichao Bian, Shaowei Jiang, Michael Murphy, Jiakai Zhu, Ruihai Wang, Pengming Song, Xiaopeng Shao, Yongbing Zhang, Guoan Zheng

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

Journal ref Optics Letters Vol. 45, Issue 1, pp. 260-263 (2020)

1912.07167 2019-12-17 cs.CV 57%

Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection

Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments Accepted by Medical Imaging, SPIE2020

1912.06649 2019-12-17 cs.CV 57%

A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network

Yao Xiang, Wanxin Sun, Changli Pan, Meng Yan, Zhihua Yin, Yixiong Liang

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

1911.10654 2019-11-26 stat.ML cs.LG 57%

Lung Cancer Detection and Classification based on Image Processing and Statistical Learning

Md Rashidul Hasan, Muntasir Al Kabir

专题命中病理影像：CT(abstract)；分类 cs.LG

1806.01907 2019-11-25 cs.CV 57%

Y-Net: A deep Convolutional Neural Network for Polyp Detection

Ahmed Mohammed, Sule Yildirim, Ivar Farup, Marius Pedersen, Øistein Hovde

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments 11 Pages, 3 figures

Journal ref British Machine Vision Conference (BMVC), 2018

1909.12291 2019-09-27 cs.LG cs.DC stat.ML 57%

Exascale Deep Learning to Accelerate Cancer Research

Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel Saltz

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments Submitted to IEEE Big Data

1. 病理影像 3453 篇

Virtual brightfield and fluorescence staining for Fourier ptychography via unsupervised deep learning

On the Expressiveness of Approximate Inference in Bayesian Neural Networks

Implicit Subspace Prior Learning for Dual-Blind Face Restoration

Computational analysis of pathological image enables interpretable prediction for microsatellite instability

Denoising convolutional neural networks for photoacoustic microscopy

Reflection-mode virtual histology using photoacoustic remote sensing microscopy

Synthetic multi-focus optical-resolution photoacoustic microscope for large volumetric imaging

Information: to Harvest, to Have and to Hold

Computed extended depth of field optical-resolution photoacoustic microscope

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Autofocusing technologies for whole slide imaging and automated microscopy

Model Reduction of Shallow CNN Model for Reliable Deployment of Information Extraction from Medical Reports

When and why PINNs fail to train: A neural tangent kernel perspective

Deep Coordination Graphs

Super-resolved multispectral lensless microscopy via angle-tilted, wavelength-multiplexed ptychographic modulation

Extracting Cellular Location of Human Proteins Using Deep Learning

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

EM based Framework for Single-shot Compressive Holography

Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slides

Endo-microscopy beyond the Abbe and Nyquist limits

Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes

Full field-of-view multi-targets imaging through scattering beyond 3D optical memory effect

Label Super Resolution with Inter-Instance Loss

Image-based Survival Analysis for Lung Cancer Patients using CNNs

OpenWSI: a low-cost, high-throughput whole slide imaging system via single-frame autofocusing and open-source hardware

Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection

A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network

Lung Cancer Detection and Classification based on Image Processing and Statistical Learning

Y-Net: A deep Convolutional Neural Network for Polyp Detection

Exascale Deep Learning to Accelerate Cancer Research