医学 AI - arXivDaily 专题

2106.14403 2021-10-05 eess.IV cs.CV 88%

A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images

Weijun Tan, Jingfeng Liu

专题命中医学影像：CT(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、eess.IV

Journal ref 2021 ICCV Workshops

2108.07148 2021-10-01 eess.IV cs.CV 88%

Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset

Weijun Tan, Hongwei Guo

专题命中医学影像：CT(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、eess.IV

Journal ref IEEE ICMLA 2021

2108.03799 2021-08-29 eess.IV cs.CV 88%

COVID-view: Diagnosis of COVID-19 using Chest CT

Shreeraj Jadhav, Gaofeng Deng, Marlene Zawin, Arie E. Kaufman

专题命中医学影像：CT(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、eess.IV

Comments 11 pages, 10 figures, accepted to IEEE VIS 2021 conference and IEEE Transactions on Visualization and Computer Graphics

2107.04930 2021-08-19 eess.IV cs.CV 88%

TeliNet: Classifying CT scan images for COVID-19 diagnosis

Mohammad Nayeem Teli

专题命中医学影像：CT(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、eess.IV

Comments 7 pages, 4 figures, ICCVW

Journal ref ICCVW 2021

2108.05649 2021-08-13 cs.CV cs.AI cs.LG 88%

Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought

Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar

专题命中医学影像：CT(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、cs.LG

Comments 9 pages

2107.12461 2021-07-28 eess.IV cs.CV 88%

Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation

Hasib Zunair, A. Ben Hamza

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

2107.02927 2021-07-08 eess.IV cs.CV 88%

Image Complexity Guided Network Compression for Biomedical Image Segmentation

Suraj Mishra, Danny Z. Chen, X. Sharon Hu

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

Comments ACM JETC

2012.00144 2021-06-24 cs.CV cs.LG 88%

Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning

Gergo Merkely, Alireza Borjali, Molly Zgoda, Evan M. Farina, Simon Gortz, Orhun Muratoglu, Christian Lattermann, Kartik M. Varadarajan

专题命中医学影像：MRI(title,abstract)；diagnosis(title)；medical image(abstract)；分类 cs.CV、cs.LG

Journal ref https://doi.org/10.1016/j.jcjp.2021.100009

2105.10827 2021-05-25 eess.IV cs.CV 88%

Orthogonal Ensemble Networks for Biomedical Image Segmentation

Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

Comments Accepted for publication at MICCAI 2021

2101.09057 2021-01-25 cs.CV cs.AI eess.IV 88%

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

Comments Published as a journal paper at IEEE J-BHI

2002.08406 2021-01-12 eess.IV cs.CV 88%

T-Net: Learning Feature Representation with Task-specific Supervision for Biomedical Image Analysis

Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

2101.00691 2021-01-05 eess.IV cs.CV 88%

CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans

Tanvir Mahmud, Md. Jahin Alam, Sakib Chowdhury, Shams Nafisa Ali, Md Maisoon Rahman, Shaikh Anowarul Fattah, Mohammad Saquib

专题命中医学影像：CT(title,abstract)；diagnosis(title,abstract)；分类 cs.CV、eess.IV

Comments 10 Pages, 8 figures. This article has been published in IEEE Transactions on Industrial Informatics

1905.08720 2020-08-26 cs.CV eess.IV 88%

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

Comments IEEE Transactions on Medical Imaging

2006.04878 2020-07-10 eess.IV cs.CV 88%

KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations

Jeya Maria Jose, Vishwanath Sindagi, Ilker Hacihaliloglu, Vishal M. Patel

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

Comments Accepted at MICCAI 2020

2003.07923 2020-03-20 eess.IV cs.CV 88%

3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images

Cheryl Sital, Tom Brosch, Dominique Tio, Alexander Raaijmakers, Jürgen Weese

专题命中医学影像：medical image(title,abstract)；CT(title,abstract)；分类 cs.CV、eess.IV

1812.04103 2020-02-20 cs.CV cs.LG stat.AP stat.ML 88%

Non-local U-Net for Biomedical Image Segmentation

Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、cs.LG

Comments In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2019

1909.11854 2019-09-27 eess.IV cs.LG stat.ML 88%

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel-Angel Gonzalez Ballester, Karim Lekadir

专题命中医学影像：MRI(title,abstract)；diagnosis(title,abstract)；分类 cs.LG、eess.IV

1909.04542 2019-09-11 eess.IV cs.CV 88%

Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation

Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan

专题命中医学影像：MRI(title,abstract)；CT(title,abstract)；分类 cs.CV、eess.IV

Comments This paper has been accepted by MICCAI 2019

1901.03597 2019-06-07 cs.CR cs.CV cs.LG 88%

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

Yisroel Mirsky, Tom Mahler, Ilan Shelef, Yuval Elovici

专题命中医学影像：CT(title,abstract)；medical image(title)；radiology(abstract)；分类 cs.CV、cs.LG

Comments This paper is included in the Proceedings of the 28th USENIX Security Symposium (USENIX Security 2019)

1904.12181 2019-04-30 cs.CV eess.IV 88%

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Xiang He, Sibei Yang, Guanbin Li?, Haofeng Li, Huiyou Chang, Yizhou Yu

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、eess.IV

Comments Accepted by AAAI2019 as oral presentation

1811.03433 2019-03-29 cs.CV cs.AI cs.LG stat.ML 88%

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow

Qiao Zheng, Hervé Delingette, Nicholas Ayache

专题命中医学影像：MRI(title,abstract)；pathology(title,abstract)；分类 cs.CV、cs.LG

1903.00035 2019-03-04 cs.CV cs.AI cs.LG 88%

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV、cs.LG

Comments To appear in MIDL2019 and PMLR

2311.08236 2024-07-23 cs.CV 88%

MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis

Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang

专题命中医学影像：medical image(title,abstract)；diagnosis(title,abstract)；分类 cs.CV；biomedical(comments)

Comments IEEE International Symposium on Biomedical Imaging (ISBI 2024)

2107.03949 2021-07-09 cs.CV 88%

Task Fingerprinting for Meta Learning in Biomedical Image Analysis

Patrick Godau, Lena Maier-Hein

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV

Comments Medical Image Computing and Computer Assisted Interventions (MICCAI) 2021

2004.02731 2020-04-21 eess.IV cs.CV q-bio.QM 88%

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen

专题命中医学影像：diagnosis(title,abstract)；biomedical(abstract,journal_ref)；CT(abstract)；radiology(abstract)

Comments Added journal submission info

Journal ref IEEE Reviews in Biomedical Engineering (2020)

1809.09404 2019-02-05 cs.CV 88%

Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro

专题命中医学影像：MRI(title,abstract)；diagnosis(title,abstract)；分类 cs.CV；medical image(comments)

Comments Submitted to Medical Image Analysis

1806.07131 2018-06-20 cs.CV 88%

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M W Wille, Marleen de Bruijne

专题命中医学影像：medical image(title,abstract)；CT(title,abstract)；分类 cs.CV；biomedical(comments)

Comments 10 pages. Submitted to LABELS2018 - MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis

1707.04912 2017-07-19 cs.CV 88%

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang

专题命中医学影像：MRI(title,abstract)；CT(title,abstract)；分类 cs.CV；medical image(comments)

Comments 8 pages, 7 figures, accepted to Medical Image Computing and Computer Assisted Interventions Conference (MICCAI) 2017

1608.04117 2016-09-26 cs.CV 88%

The Importance of Skip Connections in Biomedical Image Segmentation

Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal

专题命中医学影像：medical image(title,abstract)；biomedical(title,abstract)；分类 cs.CV

Comments Accepted to 2nd Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016); Added references

2602.14315 2026-08-05 physics.med-ph cs.NA math.NA 版本更新 88%

Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT

基于复波let的sinogram分割用于锥束CT中金属伪影的减少

Siiri Rautio, Alexander Meaney, Salla-Maaria Latva-Äijö, Harshit Agrawal, Mikael Brix, Dinidu Jayakody, Samuli Siltanen

专题命中医学影像：CT(title,title_cn)

AI总结本文提出基于复波let的投影域金属伪影减少方法，通过分析性金属分割提升锥束CT图像质量。

1. 医学影像 22563 篇

A 3D CNN Network with BERT For Automatic COVID-19 Diagnosis From CT-Scan Images

Data Augmentation and CNN Classification For Automatic COVID-19 Diagnosis From CT-Scan Images On Small Dataset

COVID-view: Diagnosis of COVID-19 using Chest CT

TeliNet: Classifying CT scan images for COVID-19 diagnosis

Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought

Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation

Image Complexity Guided Network Compression for Biomedical Image Segmentation

Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning

Orthogonal Ensemble Networks for Biomedical Image Segmentation

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation

T-Net: Learning Feature Representation with Task-specific Supervision for Biomedical Image Analysis

CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations

3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images

Non-local U-Net for Biomedical Image Segmentation

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis

Task Fingerprinting for Meta Learning in Biomedical Image Analysis

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

The Importance of Skip Connections in Biomedical Image Segmentation

Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT