医学 AI - arXivDaily 专题

2110.04069 2021-10-11 cs.CV cs.LG 81%

BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images

Boyu Zhang, Aleksandar Vakanski, Min Xian

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

2110.03094 2021-10-08 eess.IV cs.CV 81%

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Riddhish Bhalodia, Ali Hatamizadeh, Leo Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu

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

Comments Published at MICCAI 2021

2110.01474 2021-10-05 cs.LG cs.CV 81%

Distributed Learning Approaches for Automated Chest X-Ray Diagnosis

Edoardo Giacomello, Michele Cataldo, Daniele Loiacono, Pier Luca Lanzi

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

Comments 8 pages, 1 figure

2103.02940 2021-10-01 cs.CV eess.IV 81%

Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

Aleksandr Belov, Joel Stadelmann, Sergey Kastryulin, Dmitry V. Dylov

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

Comments Main text: 10 pages and 8 figures. 18 pages and 14 figures total (Supplementary material included)

Journal ref MICCAI 2021. Lecture Notes in Computer Science, vol 12906, pp 254-264

2109.12634 2021-09-28 eess.IV cs.CV 81%

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao

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

Comments 10 pages, 2 figures

2109.12629 2021-09-28 eess.IV cs.CV 81%

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao

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

Comments 10 pages, 2 figures

2109.12622 2021-09-28 cs.CV cs.AI cs.LG 81%

Using Soft Labels to Model Uncertainty in Medical Image Segmentation

João Lourenço Silva, Arlindo L. Oliveira

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

Comments 8 pages, 1 figure, 3 tables

2109.12502 2021-09-28 cs.CV eess.IV 81%

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang

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

Comments 10 pages, 3 figures, 2 tables

2104.03618 2021-09-27 eess.IV cs.CV 81%

MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data

Hao Guan, Chaoyue Wang, Dacheng Tao

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

2103.05546 2021-09-22 eess.IV cs.CV 81%

Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT

Ziyang Wang, Irina Voiculescu

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

2109.09271 2021-09-21 eess.IV cs.CV 81%

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin

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

2102.08556 2021-09-15 eess.IV cs.CV 81%

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation

Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan

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

Comments The paper has been accepted to Medical Physics

2103.00274 2021-09-15 eess.IV cs.CV 81%

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

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

Comments A self-archive version to be published in Medical Physics, awaiting minor revision

2006.02420 2021-09-15 physics.med-ph cs.LG eess.IV 81%

Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging

Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang, Bin Dong

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

2109.05816 2021-09-14 cs.CV eess.IV 81%

Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT

Christina B. Lund, Bas H. M. van der Velden

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

Comments Submitted to the Kidney and Kidney Tumor Segmentation Challenge (KiTS21), MICCAI 2021

2109.03237 2021-09-10 eess.IV cs.CV 81%

MRI Reconstruction Using Deep Energy-Based Model

Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang

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

Comments 36 pages, 9 figures

2109.03478 2021-09-09 eess.IV cs.CV 81%

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

Geng-Xin Xu, Chen Liu, Jun Liu, Zhongxiang Ding, Feng Shi, Man Guo, Wei Zhao, Xiaoming Li, Ying Wei, Yaozong Gao, Chuan-Xian Ren, Dinggang Shen

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

2109.03435 2021-09-09 eess.IV cs.CV 81%

SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation

Ammu R, Neelam Sinha

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

2012.03173 2021-09-09 cs.LG cs.CV math.OC stat.ML 81%

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang

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

Comments Accepted by ICCV2021

Journal ref International Conference on Computer Vision (ICCV2021)

1902.05408 2021-09-09 cs.CV cs.LG stat.ML 81%

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT

Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Lessmann, Ivana Isgum

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

Comments IEEE Transactions on Medical Imaging (In press)

Journal ref IEEE Transactions on Medical Imaging, Volume: 38, Issue: 9, Sept. 2019, Pages: 2127 - 2138

2109.01486 2021-09-06 eess.IV cs.CV 81%

Studying the Effects of Self-Attention for Medical Image Analysis

Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver Aalami

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

Comments ICCV 2021 CVAMD

2102.02734 2021-08-30 physics.med-ph cs.LG eess.IV 81%

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino, Joao Seco

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

Comments 59 pages, 4 figures, 5 tables; two first equally contributing authors; Medical Physics. 2021

2108.05422 2021-08-29 eess.IV cs.CV 81%

Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation

Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan

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

Comments MICCAI 2021 Workshop MLMI

2108.11720 2021-08-27 eess.IV cs.CV 81%

Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder

Saddam Hussain Khan, Asifullah Khan, Yeon Soo Lee, Mehdi Hassan, Woong Kyo jeong

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

Comments Pages: 23, 8 Figures, 2 Tables

2108.10147 2021-08-24 cs.LG cs.AI eess.IV 81%

Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data

Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo

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

2102.04869 2021-08-24 eess.IV cs.CV cs.NE 81%

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT

Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan, Hui-Ming Lin, Jefferson R. Wilson, Muhammad Mamdani, Errol Colak

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

Comments This paper is under review

2108.09535 2021-08-24 eess.IV cs.CV 81%

Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application

Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev

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

2108.08956 2021-08-23 cs.CV cs.LG 81%

Semi-supervised learning for medical image classification using imbalanced training data

Tri Huynh, Aiden Nibali, Zhen He

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

Comments This paper has 28 pages, 7 figures

1909.10922 2021-08-23 eess.IV cs.CV 81%

Automatic techniques for cochlear implant CT image analysis

Yiyuan Zhao

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

Comments This is a preprint of Yiyuan Zhao's Ph.D. dissertation from Vanderbilt University, Nashville, TN, USA. Trivial formatting modifications have been made in the arxiv version for readability. Vanderbilt University Electronic These & Dissertation (https://etd.library.vanderbilt.edu/) has the original submission on May 11 2018, and will be released on May 11 2020

2108.07662 2021-08-19 cs.CV cs.AI cs.LG 81%

MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions

Penghua Zhai, Huaiwei Cong, Gangming Zhao, Chaowei Fang, Jinpeng Li, Ting Cai, Huiguang He

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

Comments This 16-page manuscript has been submitted to Meidcal Image Analysis for possible publication

1. 医学影像 22645 篇

BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Distributed Learning Approaches for Automated Chest X-Ray Diagnosis

Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

Using Soft Labels to Model Uncertainty in Medical Image Segmentation

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data

Quadruple Augmented Pyramid Network for Multi-class COVID-19 Segmentation via CT

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging

Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT

MRI Reconstruction Using Deep Energy-Based Model

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT

Studying the Effects of Self-Attention for Medical Image Analysis

Deep learning-based synthetic-CT generation in radiotherapy and PET: a review

Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation

Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder

Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT

Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application

Semi-supervised learning for medical image classification using imbalanced training data

Automatic techniques for cochlear implant CT image analysis

MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions