医学 AI - arXivDaily 专题

2207.01734 2022-07-07 q-bio.QM cs.SE eess.IV 60%

ImageBox3: No-Server Tile Serving to Traverse Whole Slide Images on the Web

Praphulla MS Bhawsar, Erich Bremer, Máire A Duggan, Stephen Chanock, Montserrat Garcia-Closas, Joel Saltz, Jonas S Almeida

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

Comments 9 pages, 3 figures

2206.01930 2022-06-07 q-bio.NC cs.LG 60%

Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer

Maksim Zhdanov, Saskia Steinmann, Nico Hoffmann

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

Comments Submitted to ICPR 2022

2204.02278 2022-04-06 cs.LG q-bio.GN 60%

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data

Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, MD Altaf-Ul-Amin, Shigehiko Kanaya

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

Comments 4 pages, accepted for EMBC 2022

2109.13685 2022-04-05 cs.LG q-bio.GN 60%

Machine learning methods for prediction of cancer driver genes: a survey paper

Renan Andrades, Mariana Recamonde-Mendoza

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

2202.10290 2022-03-18 eess.AS cs.AI cs.LG cs.SD q-bio.QM 60%

Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition

Mengzhe Geng, Xurong Xie, Zi Ye, Tianzi Wang, Guinan Li, Shujie Hu, Xunying Liu, Helen Meng

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

Comments In submission to IEEE/ACM Transactions on Audio Speech and Language Processing

2203.00585 2022-03-02 cs.CV q-bio.TO 60%

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

Richard J. Chen, Rahul G. Krishnan

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

Comments Learning Meaningful Representations of Life (NeurIPS 2021)

2111.03923 2021-11-11 cs.LG q-bio.QM 60%

Deep Learning Based Model for Breast Cancer Subtype Classification

Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar

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

Comments Paper has been accepted for publication in ICACET 2021

2108.08306 2021-08-27 q-bio.QM eess.IV 60%

ALBRT: Cellular Composition Prediction in Routine Histology Images

Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas

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

Comments 11 pages, 5 figures

2105.12807 2021-08-19 q-bio.GN cs.AI cs.LG q-bio.QM 60%

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

Eloise Withnell, Xiaoyu Zhang, Kai Sun, Yike Guo

专题命中病理影像：biomedical(abstract)；分类 cs.LG、q-bio

Comments 12 pages, 7 figures, 10 tables

Journal ref Briefings in Bioinformatics.2021

2108.02278 2021-08-06 cs.CV cs.AI q-bio.GN q-bio.QM q-bio.TO 60%

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Jana Lipkova, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood

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

Comments Demo: http://pancancer.mahmoodlab.org

2108.00250 2021-08-03 cs.LG q-bio.QM stat.AP stat.ME stat.ML 60%

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data

Loic Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia Schnabel, Ben Glocker

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

1901.05958 2021-07-22 q-bio.QM cs.LG stat.ML 60%

A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data

Albee Y. Ling, Allison W. Kurian, Jennifer L. Caswell-Jin, George W. Sledge, Nigam H. Shah, Suzanne R. Tamang

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

Journal ref JAMIA open 2.4 (2019): 528-537

2107.00940 2021-07-05 cs.LG cs.NA math.NA physics.comp-ph q-bio.QM 60%

Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks

Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini

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

2003.00125 2021-05-04 physics.med-ph eess.IV q-bio.QM 60%

Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM)

Jingfang "Kelly" Zhang, Yuchen R. He, Nahil Sobh, Gabriel Popescu

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

Comments 17 pages, 6 figures

Journal ref APL Photonics 5, 040805 (2020)

1710.06420 2020-12-25 physics.med-ph eess.IV math.OC q-bio.TO 60%

Coupling Brain-Tumor Biophysical Models and Diffeomorphic Image Registration

Klaudius Scheufele, Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros, Miriam Mehl

专题命中病理影像：MRI(abstract)；分类 q-bio、eess.IV

Comments 38 pages, 19 figures

Journal ref Computer Methods in Applied Mechanics and Engineering, 347(15):533-567, 2019

2011.11088 2020-11-24 q-bio.QM cs.LG cs.SY eess.SY 60%

Data Mining Techniques in Predicting Breast Cancer

Hamza Saad, Nagendra Nagarur

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

Comments 9 pages, 4 figures, paper published in journal

Journal ref J. Applied Sci., 20 (4): 124-133, 2020

1912.12378 2020-10-28 eess.IV cs.CV cs.LG 60%

Deep neural network models for computational histopathology: A survey

Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel

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

Comments Published in Medical Image Analysis, Vol. 67, Jan 2021. (10.1016/j.media.2020.101813)

Journal ref Medical Image Analysis, Vol. 67, Jan 2021

2009.00197 2020-09-02 eess.IV q-bio.QM 60%

Deep unsupervised learning for Microscopy-Based Malaria detection

Alexander Tao, Boran Han

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

1910.09100 2020-07-28 q-bio.QM cs.LG q-bio.GN 60%

Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning

Okyaz Eminaga, Mahmood Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann

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

1907.07774 2020-06-30 q-bio.QM eess.IV 60%

Image-Driven Biophysical Tumor Growth Model Calibration

Klaudius Scheufele, Shashank Subramanian, Andreas Mang, George Biros, Miriam Mehl

专题命中病理影像：MRI(abstract)；分类 q-bio、eess.IV

Comments 24 pages, 8 figures

Journal ref SIAM Journal on Scientific Computing, 42(3):B549-B580, 2020

2006.13798 2020-06-25 cs.LG q-bio.QM stat.AP stat.ML 60%

Bayesian Sampling Bias Correction: Training with the Right Loss Function

L. Le Folgoc, V. Baltatzis, A. Alansary, S. Desai, A. Devaraj, S. Ellis, O. E. Martinez Manzanera, F. Kanavati, A. Nair, J. Schnabel, B. Glocker

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

2004.02333 2020-04-07 stat.AP cs.LG q-bio.QM 60%

Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates

Carlos Relvas, André Fujita

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

1908.06278 2020-02-11 cs.LG q-bio.GN stat.ML 60%

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo

专题命中病理影像：biomedical(abstract)；分类 cs.LG、q-bio

Comments 7 pages, 4 figures

Journal ref 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

1906.03722 2020-02-10 stat.ML cs.LG q-bio.QM stat.ME 60%

Integrative Factorization of Bidimensionally Linked Matrices

Jun Young Park, Eric F. Lock

专题命中病理影像：biomedical(abstract)；分类 cs.LG、q-bio

Comments 27 pages, 4 figures

Journal ref Biometrics, 2019

1910.02779 2019-10-08 q-bio.QM cs.LG 60%

Verification and Validation of Computer Models for Diagnosing Breast Cancer Based on Machine Learning for Medical Data Analysis

Vladislav Levshinskii, Maxim Polyakov, Alexander Losev, Alexander Khoperskov

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

Comments 15 pages, 9 figures, Creativity in Intelligent Technologies and Data Science (CIT&DS 2019), Volgograd, September, 2019

Journal ref Communications in Computer and Information Science, 2019, v. 1083, pp.63-77

1812.10384 2019-08-22 cs.CY cs.LG q-bio.QM stat.ML 60%

Identification of Cancer -- Mesothelioma Disease Using Logistic Regression and Association Rule

Avishek Choudhury

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

Journal ref American Journal of Engineering and Applied Sciences 2018, 11(4):1310.1319

1906.07794 2019-06-20 q-bio.GN cs.LG q-bio.QM 60%

Convolutional neural network models for cancer type prediction based on gene expression

Milad Mostavi, Yu-Chiao Chiu, Yufei Huang, Yidong Chen

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

Comments 34 pages, 5 figures, This paper was presented at ICIBM June, 2019 at Ohio Columbus, and will be published in BMC Genomics journal. Keywords: Deep Learning; Convolutional Neural Networks, The Cancer Genome Atlas; Cancer type prediction; Cancer gene markers; Breast cancer subtype prediction

1903.05257 2019-03-14 cs.CV q-bio.TO stat.ML 60%

Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary

Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Boerner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber Simpson, Thomas J. Fuchs

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

Comments 10 pages, 6 figures

1804.01296 2018-04-05 cs.CV q-bio.NC q-bio.QM 60%

Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality

Benjamin Gutierrez Becker, Tassilo Klein, Christian Wachinger

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

Comments Paper accepted in Neuroimage

1705.08369 2017-11-06 cs.CV cs.AI q-bio.QM 60%

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues

Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David Snead, Ian Ellis, Mohammad Ilyas, Nasir Rajpoot

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

1. 病理影像 3453 篇

ImageBox3: No-Server Tile Serving to Traverse Whole Slide Images on the Web

Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data

Machine learning methods for prediction of cancer driver genes: a survey paper

Speaker Adaptation Using Spectro-Temporal Deep Features for Dysarthric and Elderly Speech Recognition

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

Deep Learning Based Model for Breast Cancer Subtype Classification

ALBRT: Cellular Composition Prediction in Routine Histology Images

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data

A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data

Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks

Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM)

Coupling Brain-Tumor Biophysical Models and Diffeomorphic Image Registration

Data Mining Techniques in Predicting Breast Cancer

Deep neural network models for computational histopathology: A survey

Deep unsupervised learning for Microscopy-Based Malaria detection

Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning

Image-Driven Biophysical Tumor Growth Model Calibration

Bayesian Sampling Bias Correction: Training with the Right Loss Function

Stage I non-small cell lung cancer stratification by using a model-based clustering algorithm with covariates

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

Integrative Factorization of Bidimensionally Linked Matrices

Verification and Validation of Computer Models for Diagnosing Breast Cancer Based on Machine Learning for Medical Data Analysis

Identification of Cancer -- Mesothelioma Disease Using Logistic Regression and Association Rule

Convolutional neural network models for cancer type prediction based on gene expression

Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary

Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues