医学 AI - arXivDaily 专题

2402.02286 2026-05-12 cs.CV cs.AI cs.LG 89%

Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation

Attention-Mamba: 一种增强Mamba的多尺度并行推理网络用于医学图像分割

Yanhua Zhang, Ke Zhang, Jingyu Wang, Gabriella Balestra, Samanta Rosati, Yulin Wu, Wuwei Wang, Valentina Giannini

机构 * School of Astronautics, Northwestern Polytechnical University（航天学院，西北工业大学）； Department of Electronics and Telecommunications, Politecnico di Torino（电信系，托斯卡纳理工学院）； Beijing Aerospace Automatic Control Research Institute（北京航天自动控制研究所）； Xi'an University of Posts and Telecommunications（西安邮电大学）； Department of Oncology, University of Turin（肿瘤科，都灵大学）； Candiolo Cancer Institute, FPO-IRCCS（坎迪奥利癌症研究所，FPO-IRCCS）

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

AI总结本文提出一种基于Mamba的多尺度并行网络，通过多尺度特征提取和递归对齐模块提升医学图像分割性能，实现高效准确的分割结果。

Comments 14 pages, 9 figures and 8 Tables

2605.00876 2026-05-05 cs.LG cs.CV 89%

GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI

GAZE：基于视图级工具和文献检索的 grounded 零样本评估

Duaa Alim, Mogtaba Alim, Liam Chalcroft

机构 * Imperial College London, UK（伦敦帝国学院）； University of Toronto, Canada（多伦多大学）； University College London, UK（伦敦大学学院）

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

AI总结 GAZE框架通过调用视图级工具和文献检索工具，使医学VLM在迭代方式下工作，实现对罕见脑MRI的零样本评估，提升病变定位和诊断准确率。

2509.13590 2026-04-20 eess.IV cs.AI cs.CV 89%

Intelligent Healthcare Imaging Platform: A VLM-Based Framework for Automated Medical Image Analysis and Clinical Report Generation

智能医疗影像平台：基于视觉语言模型的自动化医学图像分析与临床报告生成框架

Samer Al-Hamadani

机构 * Automated Manufacturing Department/Al-Khwarizmi College of Engineering/ University of Baghdad/Gilgamesh University（自动化制造部门/阿尔·卡瓦尔齐米工程学院/巴格达大学/吉尔伽美什大学）

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

AI总结本文提出基于视觉语言模型的智能多模态框架，用于自动化医学图像分析和临床报告生成，结合视觉特征提取与自然语言处理，实现上下文图像解释，并通过多层可视化技术提升临床信心。

Comments 32 pages, 14 figures, 6 tables

2211.02868 2022-11-08 eess.IV cs.CV cs.LG q-bio.NC 89%

Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier

P Supriya Patro, Tripti Goel, S A VaraPrasad, M Tanveer, R Murugan

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

1910.04071 2020-09-01 cs.CV cs.CY eess.IV 89%

BIAS: Transparent reporting of biomedical image analysis challenges

Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbuary, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett Landman

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

Comments 2 Appendices - Appendix A: BIAS reporting guideline for biomedical image analysis challenges, Appendix B: Glossary; 2 Supplements - Suppl 1: Form for summarizing information on challenge organization, Suppl 2: Structured description of a challenge design

2601.11558 2026-01-23 cs.DB 89%

Bridging Radiology and Pathology: A DICOM-Based Framework for Multimodal Mapping and Integrated Visualization

连接放射学与病理科：基于DICOM的多模态映射与集成可视化框架

Nilesh P. Rijhwani, Titus J. Brinker, Peter Neher, Marco Nolden, Klaus Maier-Hein, Maximilian Fischer, Christoph Wies

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

AI总结本研究提出一种基于DICOM的跨学科工具，通过多模态映射和集成可视化，促进放射学与病理科的协同分析与研究。

2512.09779 2025-12-11 eess.IV cs.AI cs.CV cs.LG 89%

PathCo-LatticE: Pathology-Constrained Lattice-Of Experts Framework for Fully-supervised Few-Shot Cardiac MRI Segmentation

PathCo-LatticE: 一种受病理约束的专家 lattice 框架，用于全监督的少样本心脏 MRI 分割

Mohamed Elbayumi, Mohammed S. M. Elbaz

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

AI总结 PathCo-LatticE通过病理引导的合成监督和动态专家lattice框架，在少样本心脏MRI分割中实现优于现有方法的性能，并在无目标域微调的情况下实现接近全监督的准确率。

2509.22049 2025-09-29 eess.IV cs.CV cs.LG 89%

Comparative Analysis of GAN and Diffusion for MRI-to-CT translation

Emily Honey, Anders Helbo, Jens Petersen

机构 * Department of Computer Science, University of Copenhagen, Copenhagen, Denmark（哥本哈根大学计算机科学系）； Department of Oncology, Rigshospitalet, Copenhagen, Denmark（哥本哈根医院肿瘤科）

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

2405.06463 2025-08-08 eess.IV cs.CV cs.LG 89%

MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT

Hartmut Häntze, Lina Xu, Christian J. Mertens, Felix J. Dorfner, Leonhard Donle, Felix Busch, Avan Kader, Sebastian Ziegelmayer, Nadine Bayerl, Nassir Navab, Daniel Rueckert, Julia Schnabel, Hugo JWL Aerts, Daniel Truhn, Fabian Bamberg, Jakob Weiß, Christopher L. Schlett, Steffen Ringhof, Thoralf Niendorf, Tobias Pischon, Hans-Ulrich Kauczor, Tobias Nonnenmacher, Thomas Kröncke, Henry Völzke, Jeanette Schulz-Menger, Klaus Maier-Hein, Mathias Prokop, Bram van Ginneken, Alessa Hering, Marcus R. Makowski, Lisa C. Adams, Keno K. Bressem

机构 * Department of Radiology, Charité - Universitätsmedizin Berlin（柏林查理医院放射科）； Freie Universität Berlin（柏林自由大学）； Humboldt Universität zu Berlin（柏林洪堡大学）； Diagnostic Image Analysis Group, Radboud University Medical Center（拉德堡德大学医学中心诊断图像分析组）； School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital（医学与健康学院，莱比锡大学医院）； Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg（埃朗根大学医院放射科，埃朗根-纽伦堡弗里德里希-亚历山大大学）； Laboratory for Computer Aided Medical Procedures, Technical University of Munich（慕尼黑技术大学计算机辅助医疗程序实验室）； Chair for AI in Medicine and Healthcare, Klinikum rechts der Isar, Technical University Munich（医学与健康中的AI教授职位，莱比锡大学医院，慕尼黑技术大学）

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

Comments 17 pages, 6 figures; updated data; completed co-author info

2501.09753 2025-01-17 cs.CV cs.LG eess.IV 89%

SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification

Yuexi Du, Jiazhen Zhang, Tal Zeevi, Nicha C. Dvornek, John A. Onofrey

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

Comments Accepted by IEEE ISBI 2025 4-page paper

2412.05666 2024-12-10 eess.IV cs.AI cs.CV cs.LG 89%

Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning

Mozhgan Naderi, Maryam Rastgarpour, Amir Reza Takhsha

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

2409.18814 2024-09-30 eess.IV cs.AI cs.CV cs.LG 89%

Early diagnosis of Alzheimer's disease from MRI images with deep learning model

Sajjad Aghasi Javid, Mahmood Mohassel Feghhi

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

Comments 7 pages, 3 figures, Presented at the 20-th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP) 21-22 February, 2024, Mazandaran University of Science and Technology, Babol, Iran

2403.16212 2024-03-26 eess.IV cs.CV cs.LG 89%

Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis

Shaojie Li, Haichen Qu, Xinqi Dong, Bo Dang, Hengyi Zang, Yulu Gong

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

2403.05353 2024-03-11 eess.IV cs.CV cs.LG 89%

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans

Maleka Khatun, Md Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Md. Alamin Talukder, Md Ashraf Uddin

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

Comments Accepted In The 26th International Conference on Computer and Information Technology (ICCIT) On 13-15 December 2023

2401.03132 2024-01-09 eess.IV cs.CV cs.LG 89%

Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI

Taymaz Akan, Sait Alp, Mohammad A. N Bhuiyanb

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

2305.05732 2023-05-11 eess.IV cs.CV cs.LG 89%

Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation

Yuqi Wang, Jacob A. Macdonald, Katelyn R. Morgan, Danielle Hom, Sarah Cubberley, Kassi Sollace, Nicole Casasanto, Islam H. Zaki, Kyle J. Lafata, Mustafa R. Bashir

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

2304.04814 2023-04-12 eess.IV cs.CV cs.LG 89%

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model

Muntasir Mamun, Md Ishtyaq Mahmud, Mahabuba Meherin, Ahmed Abdelgawad

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

Comments 8, accepted by 10th International Conference on Signal Processing and Integrated Networks (SPIN 2023)

2001.01330 2023-04-07 cs.CV cs.LG eess.IV 89%

Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans

Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga

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

Comments Accepted in IEEE Access

2303.02559 2023-03-07 cs.LG cs.CR cs.CV eess.IV 89%

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun

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

Comments This paper is accepted as a poster for NDSS 2023

2211.07966 2022-11-16 eess.IV cs.CV cs.LG 89%

Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI

Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang

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

Comments 5 pages, 2 figures, 2 tables

2205.07568 2022-05-17 eess.IV cs.CV cs.LG 89%

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler

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

Comments 10 pages, 3 figures

2109.03812 2021-09-15 eess.IV cs.CV cs.LG physics.med-ph 89%

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael S. Hansen, Matthew P. Lungren

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

2106.01915 2021-06-04 eess.IV cs.CV cs.LG 89%

Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation

Changhee Han

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

Comments Ph.D. Thesis (The University of Tokyo) defended in February, 2020. Based on GAN-based synthetic brain MR image generation (ISBI 2018), arXiv:1902.09856, arXiv:1903.12564, arXiv:1905.13456, arXiv:1906.04962, arXiv:2001.03923

2008.04396 2020-08-12 eess.IV cs.CV cs.LG 89%

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI

Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

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

Comments Accepted for publication at the MICCAI 2020 conference

2004.05698 2020-05-28 eess.IV cs.CV cs.LG 89%

Y-net: Biomedical Image Segmentation and Clustering

Sharmin Pathan, Anant Tripathi

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

2004.12204 2020-04-28 cs.LG cs.CV eess.IV stat.ML 89%

Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease

Eduardo Nigri, Nivio Ziviani, Fabio Cappabianco, Augusto Antunes, Adriano Veloso

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

Comments Accepted for the IEEE International Joint Conference on Neural Networks (IJCNN) 2020

1911.02521 2019-11-07 eess.IV cs.CV cs.LG 89%

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications

Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing

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

Comments Accept for publication at Medical Physics

1909.00617 2019-09-04 eess.IV cs.CV cs.LG 89%

Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT

Walid Abdullah Al, Il Dong Yun, Kyong Joon Lee

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

Comments 9 pages, 6 figures

1908.05663 2019-08-19 eess.IV cs.CV cs.LG 89%

Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings

Yigal Shenkman, Bilal Qutteineh, Leo Joskowicz, Adi Szeskin, Yusef Azraq, Arnaldo Mayer, Iris Eshed

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

1402.2647 2014-02-12 physics.med-ph 89%

First CT-MRI Scanner for Multi-dimensional Synchrony and Multi-physical Coupling

Ge Wang

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

Comments 2 pages, 5 references

1. 医学影像 22563 篇

Attention-Mamba: A Mamba-Enhanced Multi-Scale Parallel Inference Network for Medical Image Segmentation

GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI

Intelligent Healthcare Imaging Platform: A VLM-Based Framework for Automated Medical Image Analysis and Clinical Report Generation

Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier

BIAS: Transparent reporting of biomedical image analysis challenges

Bridging Radiology and Pathology: A DICOM-Based Framework for Multimodal Mapping and Integrated Visualization

PathCo-LatticE: Pathology-Constrained Lattice-Of Experts Framework for Fully-supervised Few-Shot Cardiac MRI Segmentation

Comparative Analysis of GAN and Diffusion for MRI-to-CT translation

MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT

SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification

Early Diagnosis of Alzheimer's Diseases and Dementia from MRI Images Using an Ensemble Deep Learning

Early diagnosis of Alzheimer's disease from MRI images with deep learning model

Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans

Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI

Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model

Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI

Y-net: Biomedical Image Segmentation and Clustering

Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease

Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications

Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT

Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings

First CT-MRI Scanner for Multi-dimensional Synchrony and Multi-physical Coupling