医学 AI - arXivDaily 专题

2104.00059 2021-04-13 cs.CV eess.IV 62%

Passive Inter-Photon Imaging

Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten

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

Comments Accepted to CVPR 2021 as an oral presentation

2010.04717 2021-04-12 eess.IV cs.CV 62%

Unsupervised 3D Brain Anomaly Detection

Jaime Simarro, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana M. Sima

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

Comments Accepted at BrainLes Workshop in MICCAI 2020

Journal ref In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Lecture Notes in Computer Science, vol 12658. Springer, Cham (2021)

2008.04526 2021-03-29 eess.IV cs.CV 62%

SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images

Srijay Deshpande, Fayyaz Minhas, Simon Graham, Nasir Rajpoot

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

2103.11362 2021-03-23 cs.CV cs.AI cs.LG 62%

Self adversarial attack as an augmentation method for immunohistochemical stainings

Jelica Vasiljević, Friedrich Feuerhake, Cédric Wemmert, Thomas Lampert

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

Comments Accepted to ISBI 2021

2008.09104 2021-03-08 cs.CV eess.IV 62%

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers

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

Comments 20 pages, 7 figures

Journal ref Proceedings of the IEEE (2021)

2101.06468 2021-01-19 eess.IV cs.CV 62%

Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation

Khrystyna Faryna, Kevin Koschmieder, Marcella M. Paul, Thomas van den Heuvel, Anke van der Eerden, Rashindra Manniesing, Bram van Ginneken

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

Comments Accepted in Medical Imaging meets NIPS Workshop, NIPS 2020

2101.04170 2021-01-13 eess.IV cs.CV 62%

Resolution-Based Distillation for Efficient Histology Image Classification

Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour

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

2101.02746 2021-01-11 eess.IV cs.CV 62%

Learning Guided Electron Microscopy with Active Acquisition

Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit

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

Comments MICCAI 2020

2003.07526 2021-01-05 eess.IV cs.CV 62%

Synthesis of Brain Tumor MR Images for Learning Data Augmentation

Sunho Kim, Byungjai Kim, HyunWook Park

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

Comments 14 pages, 8 figures

2012.12652 2020-12-24 eess.IV cs.CV 62%

Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer

Paul Desbordes, Diksha, Benoit Macq

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

Comments 9 pages, 3 tables, 3 figures, 31 references

2012.11684 2020-12-23 cs.CV cs.LG 62%

Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection

Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe

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

Comments Accepted at SAC 2021

2002.07913 2020-12-02 eess.IV cs.CV 62%

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types

Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz

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

Journal ref Sci Data 7, 185 (2020)

2011.09247 2020-11-19 eess.IV cs.CV 62%

Deep learning models for gastric signet ring cell carcinoma classification in whole slide images

Fahdi Kanavati, Shin Ichihara, Michael Rambeau, Osamu Iizuka, Koji Arihiro, Masayuki Tsuneki

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

2011.08555 2020-11-18 eess.IV cs.CV 62%

Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients

Daniel M. Lang, Jan C. Peeken, Stephanie E. Combs, Jan J. Wilkens, Stefan Bartzsch

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

Comments 15 pages, 2 figures

2011.05406 2020-11-12 eess.IV cs.CV 62%

Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success

Qi Tang, Vardaan Kishore Kumar

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

Comments Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract

2011.02679 2020-11-06 eess.IV cs.CV 62%

A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning

Jiayun Li, Wenyuan Li, Anthony Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold

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

Comments 9 pages, 6 figures

2010.07233 2020-10-15 eess.IV cs.CV 62%

Fader Networks for domain adaptation on fMRI: ABIDE-II study

Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

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

Journal ref ICMV2020

2010.00961 2020-10-05 eess.IV cs.LG 62%

Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review

Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Vasudevan Lakshminarayanan

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

Comments 6 Figures, 4 tables

2009.11587 2020-09-25 eess.IV cs.LG 62%

Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection

Shah B. Shrey, Lukman Hakim, Muthusubash Kavitha, Hae Won Kim, Takio Kurita

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

1910.10549 2020-09-14 eess.IV cs.CV 62%

A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

Jiahao Lu, Nataša Sladoje, Christina Runow Stark, Eva Darai Ramqvist, Jan-Michaél Hirsch, Joakim Lindblad

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

Comments Accepted to ICIAR 2020

Journal ref In Proceedings of the 17th International Conference on Image Analysis and Recognition (ICIAR), LNCS-12132, pp. 249-261, Póvoa de Varzim, Portugal, June 2020

1901.09407 2020-09-08 cs.CV eess.IV 62%

3D Contouring for Breast Tumor in Sonography

Dar-Ren Chen, Yu-Chih Lin, Yu-Len Huang

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

Comments 18 pages, 1 table and 5 figures

2005.08629 2020-09-07 cs.CV cs.LG 62%

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study

Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, H. R. Tizhoosh

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

Comments Accepted for presentation at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20)

Journal ref 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1400-1403

2008.03201 2020-08-10 cs.CV eess.IV physics.med-ph 62%

Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer

Dejan Kostyszyn, Tobias Fechter, Nico Bartl, Anca L. Grosu, Christian Gratzke, August Sigle, Michael Mix, Juri Ruf, Thomas F. Fassbender, Selina Kiefer, Alisa S. Bettermann, Nils H. Nicolay, Simon Spohn, Maria U. Kramer, Peter Bronsert, Hongqian Guo, Xuefeng Qiu, Feng Wang, Christoph Henkenberens, Rudolf A. Werner, Dimos Baltas, Philipp T. Meyer, Thorsten Derlin, Mengxia Chen, Constantinos Zamboglou

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

2006.12285 2020-07-17 cs.CV cs.LG stat.ML 62%

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation

Diyuan Lu, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch

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

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

2007.04734 2020-07-10 eess.IV cs.CV 62%

Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network

Nan Wang, Chengwei Chen, Yuan Xie, Lizhuang Ma

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

Comments 9 pages, 7 figures

2007.03593 2020-07-08 eess.IV cs.CV 62%

Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment

Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, Yuankai Huo

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

2007.03292 2020-07-08 eess.IV cs.CV 62%

Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer

Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran

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

2007.01042 2020-07-03 eess.IV cs.CV 62%

Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification

Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Mueller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer

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

Comments Accepted at MICCAI 2020

2003.12255 2020-07-02 eess.IV cs.CV 62%

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Xiaoyan Li, Qian Wang, Tao Jiang

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

Comments 25 pages,19 figures

Journal ref IEEE Access, Vol.8, page:90931-90956, 2020

1911.00036 2020-07-01 eess.IV cs.CV 62%

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk

Suzanne C Wetstein, Allison M Onken, Christina Luffman, Gabrielle M Baker, Michael E Pyle, Kevin H Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B van Leeuwen, Laura C Collins, Stuart J Schnitt, Josien PW Pluim, Rulla M Tamimi, Yujing J Heng, Mitko Veta

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

1. 病理影像 3453 篇

Passive Inter-Photon Imaging

Unsupervised 3D Brain Anomaly Detection

SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images

Self adversarial attack as an augmentation method for immunohistochemical stainings

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

Adversarial cycle-consistent synthesis of cerebral microbleeds for data augmentation

Resolution-Based Distillation for Efficient Histology Image Classification

Learning Guided Electron Microscopy with Active Acquisition

Synthesis of Brain Tumor MR Images for Learning Data Augmentation

Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer

Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types

Deep learning models for gastric signet ring cell carcinoma classification in whole slide images

Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients

Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success

A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning

Fader Networks for domain adaptation on fMRI: ABIDE-II study

Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review

Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection

A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

3D Contouring for Breast Tumor in Sonography

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study

Convolutional neural network based deep-learning architecture for intraprostatic tumour contouring on PSMA PET images in patients with primary prostate cancer

Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation

Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network

Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment

Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer

Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk