医学 AI - arXivDaily 专题

1902.06085 2020-07-01 cs.CV eess.IV 62%

DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet

Meiyu Li, Hailiang Tang, Michael D. Chan, Xiaobo Zhou, Xiaohua Qian

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

2006.04368 2020-06-09 eess.IV cs.CV 62%

Photoacoustic Microscopy with Sparse Data Enabled by Convolutional Neural Networks for Fast Imaging

Jiasheng Zhou, Da He, Xiaoyu Shang, Zhendong Guo, Sung-liang Chen, Jiajia Luo

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

Comments 13 pages (including 2 pages of supplementary materials)

1812.00825 2020-06-03 cs.CV cs.AI cs.LG 62%

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration

Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Greg S. Corrado, Jason D. Hipp, Martin C. Stumpe

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

Journal ref Nature Medicine (2019)

2005.12066 2020-05-26 eess.IV cs.CV 62%

An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics

Sarah Schmell, Falk Zakrzewski, Walter de Back, Martin Weigert, Uwe Schmidt, Torsten Wenke, Silke Zeugner, Robert Mantey, Christian Sperling, Ingo Roeder, Pia Hoenscheid, Daniela Aust, Gustavo Baretton

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

2005.10326 2020-05-25 eess.IV cs.CV 62%

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios

Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger

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

Comments Presented at the ICLR 2020 Workshop on AI for Overcoming Global Disparities in Cancer Care (AI4CC)

2005.00925 2020-05-05 cs.CV eess.IV 62%

Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao

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

Comments 5 pages, 3 figures, accepted to IEEE ISBI 2020

2003.07098 2020-03-17 eess.IV cs.CV 62%

Radiomic feature selection for lung cancer classifiers

Hina Shakir, Haroon Rasheed, Tariq Mairaj Rasool Khan

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

Journal ref Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

2003.06944 2020-03-17 cs.CV eess.IV 62%

Hyperspectral-Multispectral Image Fusion with Weighted LASSO

Nguyen Tran, Rupali Mankar, David Mayerich, Zhu Han

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

2003.06630 2020-03-17 eess.IV cs.CV 62%

Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing

Qiang Li, Xianming Liu, Kaige Han, Cheng Guo, Xiangyang Ji, Xiaolin Wu

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

2003.05408 2020-03-12 physics.med-ph cs.CV eess.IV stat.AP 62%

Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images

Bijju Kranthi Veduruparthi, Jayanta Mukherjee, Partha Pratim Das, Mandira Saha, Sanjoy Chatterjee, Raj Kumar Shrimali, Soumendranath Ray, Sriram Prasath

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

1911.10873 2020-02-20 cs.CV cs.LG 62%

Learning New Tricks from Old Dogs -- Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment

Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas Maier

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

Comments 5 pages, submission to BVM 2020

Journal ref Bildverarbeitung für die Medizin 2020. Informatik Aktuell. p. 1-7

1904.00839 2020-02-11 cs.CV cs.AI eess.IV 62%

Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images

David Dov, Shahar Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin

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

Journal ref Proceedings of Machine Learning Research, 2019, Vol. 106

2002.00647 2020-02-06 eess.IV cs.CV 62%

Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis

Pegah Salehi, Abdolah Chalechale

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

Comments 7 pages, 6 figures, 4 table, The 11th Iranian and the first International Conference on Machine Vision and Image Processing (MVIP 2020)

1811.08513 2019-12-05 eess.IV cs.CV 62%

Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides

Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief Suriawinata, Saeed Hassanpour

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

Comments Accepted for publication at the Journal of JAMA Network Open

Journal ref JAMA Netw Open. 2019;2(11):e1914645

1909.12959 2019-11-26 eess.IV cs.CV 62%

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation

Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam S. Kim, Dale C. Snover, John A. Baron, Elizabeth L. Barry, Saeed Hassanpour

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

1810.02797 2019-11-19 cs.CV cs.AI cs.LG stat.ML 62%

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

S H Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee

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

Comments Published in ICARCV 2018

1905.13456 2019-10-10 eess.IV cs.AI cs.CV 62%

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

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

Comments 12 pages, 7 figures, accepted to IEEE ACCESS

1910.02206 2019-10-08 cs.CV cs.LG 62%

Dilated Convolutional Neural Networks for Sequential Manifold-valued Data

Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh

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

Journal ref ICCV 2019

1905.11945 2019-09-24 eess.IV cs.CV 62%

A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections

Alison K. Cheeseman, Hamid Tizhoosh, Edward R. Vrscay

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

Comments Accepted for publication in the International Conference on Image Analysis and Recognition (ICIAR 2019)

1909.05321 2019-09-13 eess.IV cs.CV 62%

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman

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

Comments This paper is accepted by MLMI (oral), MICCAI workshop

1903.05769 2019-08-01 cs.LG cs.CV stat.ML 62%

Improving Prostate Cancer Detection with Breast Histopathology Images

Umair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu, Kevin Sandeman, Timo Heikkinen, Antti Rannikko, Tuomas Mirtti

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

Comments 9 pages, 2 figures

1907.10655 2019-07-26 eess.IV cs.CV 62%

Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification

Yuan Xue, Qianying Zhou, Jiarong Ye, L. Rodney Long, Sameer Antani, Carl Cornwell, Zhiyun Xue, Xiaolei Huang

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

Comments MICCAI 2019

1907.03960 2019-07-10 eess.IV cs.CV 62%

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types

Shahira Abousamra, Le Hou, Rajarsi Gupta, Chao Chen, Dimitris Samaras, Tahsin Kurc, Rebecca Batiste, Tianhao Zhao, Shroyer Kenneth, Joel Saltz

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

1907.03217 2019-07-09 eess.IV cs.CV 62%

Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network

Da He, De Cai, Jiasheng Zhou, Jiajia Luo, Sung-Liang Chen

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

Comments 16 pages, 9 figures

1907.01368 2019-07-03 cs.CV cs.AI eess.IV 62%

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund

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

Comments 45 pages, 11 figures

1906.00617 2019-06-04 cs.CV eess.IV 62%

Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer

Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman

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

1905.13312 2019-06-03 eess.IV cs.CV 62%

Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Li Wang, Lihui Wang, Qijian Chen, Caixia Sun, Xinyu Cheng, Yuemin Zhu

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

Comments 8 pages, 6 figures, 3 tables

1902.03582 2019-03-12 eess.IV cs.CV 62%

Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles

Xingzhi Yue, Neofytos Dimitriou, Ognjen Arandjelovic

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

Comments 2019

1902.06676 2019-02-19 cs.CV cs.LG 62%

Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina

Stephen G. Odaibo, M. D., M. S., M. S.

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

1810.10338 2018-11-06 cs.CV cs.LG cs.NE stat.ML 62%

Strategies for Training Stain Invariant CNNs

Thomas Lampert, Odyssée Merveille, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert

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

1. 病理影像 3453 篇

DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet

Photoacoustic Microscopy with Sparse Data Enabled by Convolutional Neural Networks for Fast Imaging

Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration

An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics

A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios

Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

Radiomic feature selection for lung cancer classifiers

Hyperspectral-Multispectral Image Fusion with Weighted LASSO

Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing

Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images

Learning New Tricks from Old Dogs -- Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment

Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images

Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis

Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

Dilated Convolutional Neural Networks for Sequential Manifold-valued Data

A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections

Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

Improving Prostate Cancer Detection with Breast Histopathology Images

Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types

Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network

Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer

Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles

Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina

Strategies for Training Stain Invariant CNNs