医学 AI - arXivDaily 专题

2312.07381 2024-07-18 cs.CV eess.IV 88%

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Hallee E. Wong, Marianne Rakic, John Guttag, Adrian V. Dalca

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

Comments Accepted by ECCV 2024. Project Website: https://scribbleprompt.csail.mit.edu Keywords: Interactive Segmentation, Medical Imaging, Segment Anything Model, SAM, Scribble Annotations, Prompt

2405.16119 2024-05-28 cs.LG eess.IV 88%

Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks

Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, Grygoriy Melnyk

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

Comments CEUR Workshop Proceedings (CEUR-WS.org). IDDM'2023: 6th International Conference on Informatics & Data-Driven Medicine, November 17 - 19, 2023, Bratislava, Slovakia

2403.15609 2024-03-26 eess.IV cs.CV 88%

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels

Cosmin Ciausu, Deepa Krishnaswamy, Benjamin Billot, Steve Pieper, Ron Kikinis, Andrey Fedorov

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

Comments 13 pages

2403.06227 2024-03-12 eess.IV cs.CV 88%

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan E. Iglesias

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

Comments 12 pages, 6 figures

2312.12876 2023-12-21 eess.IV cs.CV 88%

COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification

Vida Esmaeili, Mahmood Mohassel Feghhi, Seyed Omid Shahdi

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

Comments 16 pages, 8 figures, submitted for possible journal publication

2310.20604 2023-11-29 eess.IV cs.CV 88%

Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction

Saba Nikbakhsh, Lachin Naghashyar, Morteza Valizadeh, Mehdi Chehel Amirani

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

Comments 6 pages, 5 figures

2311.14462 2023-11-27 eess.IV cs.CV 88%

CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis

Ismail Elbouknify, Afaf Bouhoute, Khalid Fardousse, Ismail Berrada, Abdelmajid Badri

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

2310.17755 2023-10-30 eess.IV cs.CV 88%

Alzheimers Disease Diagnosis by Deep Learning Using MRI-Based Approaches

Sarasadat Foroughipoor, Kimia Moradi, Hamidreza Bolhasani

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

2307.08268 2023-10-24 eess.IV cs.CV 88%

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi

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

Comments MICCAI 2023, code: https://github.com/alibaba-damo-academy/pixel-lesion-patient-network

2310.13250 2023-10-23 eess.IV cs.CV 88%

Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning

Guangqi Xie, Xin Li, Xiaohan Pan, Zhibo Chen

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

Comments Accepted by IEEE VCIP

1909.08942 2023-08-16 eess.IV cs.CV 88%

Synthetic CT Generation from MRI Using Improved DualGAN

Denis Prokopenko, Joël Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, Dmitry V. Dylov

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

2201.07646 2023-08-14 cs.LG cs.CV 88%

A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis

Muhammad Muneeb Saad, Ruairi O'Reilly, Mubashir Husain Rehmani

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

Comments Submitted to the AI Review Journal

2305.19467 2023-06-01 eess.IV cs.CV 88%

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model

Shaoyan Pan, Elham Abouei, Jacob Wynne, Tonghe Wang, Richard L. J. Qiu, Yuheng Li, Chih-Wei Chang, Junbo Peng, Justin Roper, Pretesh Patel, David S. Yu, Hui Mao, Xiaofeng Yang

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

2304.06229 2023-04-14 eess.IV cs.CV 88%

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function

Muhammad Febrian Rachmadi, Charissa Poon, Henrik Skibbe

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

Comments conference

2012.14564 2023-02-27 eess.IV cs.CV 88%

Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis

Yutian Chen, Xiaowei Xu, Dewen Zeng, Yiyu Shi, Haiyun Yuan, Jian Zhuang, Yuhao Dong, Qianjun Jia, Meiping Huang

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

Comments 9 pages, 9 figures

2302.07257 2023-02-15 cs.CV eess.IV 88%

ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, Dinggang Shen

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

2301.11813 2023-01-30 eess.IV cs.CV 88%

Biomedical Image Reconstruction: A Survey

Samuel Cahyawijaya

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

2103.05529 2022-12-23 eess.IV cs.CV 88%

Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation

K. Ruwani M. Fernando, Chris P. Tsokos

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

Comments 21 pages, 7 figures

Journal ref Information Fusion, Volume 92, 2023, Pages 450-465

2210.14297 2022-11-17 eess.IV cs.CV 88%

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT

Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan

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

Comments This manuscript is currently under review at Medical Physics

2111.00528 2022-11-02 eess.IV cs.AI cs.CV math.OC 88%

Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation

Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang

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

2203.16288 2022-10-26 eess.IV cs.AI cs.CV physics.med-ph 88%

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network

Sandeep Kaushik, Mikael Bylund, Cristina Cozzini, Dattesh Shanbhag, Steven F Petit, Jonathan J Wyatt, Marion I Menzel, Carolin Pirkl, Bhairav Mehta, Vikas Chauhan, Kesavadas Chandrasekharan, Joakim Jonsson, Tufve Nyholm, Florian Wiesinger, Bjoern Menze

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

Comments Submitted to Physics in Medicine & Biology

2104.10481 2022-10-20 cs.CV cs.LG 88%

SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data

Siladittya Manna, Saumik Bhattacharya, Umapada Pal

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

2105.10559 2022-10-10 eess.IV cs.CV 88%

Hyper-Convolution Networks for Biomedical Image Segmentation

Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu

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

Comments WACV 2022

2208.07829 2022-08-17 eess.IV cs.CV 88%

Diagnosis of COVID-19 disease using CT scan images and pre-trained models

Faezeh Amouzegar, Hamid Mirvaziri, Mostafa Ghazizadeh-Ahsaee, Mahdi Shariatzadeh

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

2108.01405 2022-03-30 eess.IV cs.CV 88%

Region-wise Loss for Biomedical Image Segmentation

Juan Miguel Valverde, Jussi Tohka

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

2103.17235 2022-03-29 cs.CV eess.IV 88%

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali

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

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

2112.03916 2022-03-25 eess.IV cs.CV 88%

BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models

Narinder Singh Punn, Sonali Agarwal

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

2203.05567 2022-03-14 eess.IV cs.CV 88%

Recovering medical images from CT film photos

Quan Quan, Qiyuan Wang, Yuanqi Du, Liu Li, S. Kevin Zhou

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

2111.00534 2021-11-02 eess.IV cs.AI cs.CV math.OC 88%

Focal Attention Networks: optimising attention for biomedical image segmentation

Michael Yeung, Leonardo Rundo, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang

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

2111.00533 2021-11-02 eess.IV cs.AI cs.CV math.OC 88%

Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation

Michael Yeung, Guang Yang, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo

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

1. 医学影像 22563 篇

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI

COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification

Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction

CT-xCOV: a CT-scan based Explainable Framework for COVid-19 diagnosis

Alzheimers Disease Diagnosis by Deep Learning Using MRI-Based Approaches

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network

Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning

Synthetic CT Generation from MRI Using Improved DualGAN

A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model

Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function

Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis

ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Biomedical Image Reconstruction: A Survey

Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT

Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network

SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data

Hyper-Convolution Networks for Biomedical Image Segmentation

Diagnosis of COVID-19 disease using CT scan images and pre-trained models

Region-wise Loss for Biomedical Image Segmentation

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models

Recovering medical images from CT film photos

Focal Attention Networks: optimising attention for biomedical image segmentation

Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation