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检索条件"任意字段=8th International Conference on Medical Image Computing and Computer-Assisted Intervention"
2691 条 记 录,以下是651-660 订阅
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Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining  25th
Robust Segmentation of Brain MRI in the Wild with Hierarchic...
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25th international conference on medical image computing and computer assisted intervention (MICCAI)
作者: Billot, Benjamin Magdamo, Colin Arnold, Steven E. Das, Sudeshna Iglesias, Juan Eugenio UCL Ctr Med Image Comp London England Massachusetts Gen Hosp Dept Neurol Boston MA USA Massachusetts Gen Hosp Martinos Ctr Biomed Imaging Boston MA USA Harvard Med Sch Boston MA USA MIT Comp Sci & Artificial Intelligence Lab Cambridge MA USA
Retrospective analysis of brain MRI scans acquired in the clinic has the potential to enable neuroimaging studies with sample sizes much larger than those found in research datasets. However, analysing such clinical i... 详细信息
来源: 评论
Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT images  25th
Curvature-Enhanced Implicit Function Network for High-qualit...
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25th international conference on medical image computing and computer assisted intervention (MICCAI)
作者: Fang, Yu Cui, Zhiming Ma, Lei Mei, Lanzhuju Zhang, Bojun Zhao, Yue Jiang, Zhihao Zhan, Yiqiang Pan, Yongsheng Zhu, Min Shen, Dinggang ShanghaiTech Univ Sch Biomed Engn Shanghai Peoples R China ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples Hosp 9 Shanghai Peoples R China Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing Peoples R China Shanghai United Imaging Intelligence Co Ltd Shanghai Peoples R China
In digital dentistry, high-quality tooth models are essential for dental diagnosis and treatment. 3D CBCT images and intra-oral scanning models are widely used in dental clinics to obtain tooth models. However, CBCT i... 详细信息
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A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus images  25th
A Multi-task Network with Weight Decay Skip Connection Train...
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25th international conference on medical image computing and computer assisted intervention (MICCAI)
作者: Zhang, Wentian Sun, Xu Li, Yuexiang Liu, Haozhe He, Nanjun Liu, Feng Zheng, Yefeng Shenzhen Univ Comp Vision Inst Coll Comp Sci & Software Engn Shenzhen Peoples R China Tencent Jarvis Lab Shenzhen Peoples R China
By introducing the skip connection to bridge the semantic gap between encoder and decoder, U-shape architecture has been proven to be effective for recovering fine-grained details in dense prediction tasks. However, s... 详细信息
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HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEG for Diabetic Foot Ulcer image Segmentation  3rd
HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MS...
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3rd Diabetic Foot Ulcers Grand Challenge, DFUC 2022, held in Conjunction with the 25th international conference on medical image computing and computer-assisted intervention, MICCAI 2022
作者: Liao, Ting-Yu Yang, Ching-Hui Lo, Yu-Wen Lai, Kuan-Ying Shen, Po-Huai Lin, Youn-Long Department of Computer Science National Tsing Hua University Hsinchu Taiwan
Diabetic foot ulcers are caused by neuropathic and vascular complications of diabetes mellitus. In order to provide a proper diagnosis and treatment, wound care professionals need to extract accurate morphological fea... 详细信息
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CS2: A Controllable and Simultaneous Synthesizer of images and Annotations with Minimal Human intervention  25th
CS<SUP>2</SUP>: A Controllable and Simultaneous Synthesizer ...
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25th international conference on medical image computing and computer assisted intervention (MICCAI)
作者: Xing, Xiaodan Huang, Jiahao Nan, Yang Wu, Yinzhe Wang, Chengjia Gao, Zhifan Walsh, Simon Yang, Guang Imperial Coll London Natl Heart & Lung Inst London England Imperial Coll London Dept Biomed & Engn London England Heriot Watt Univ Edinburgh Ctr Robot Edinburgh Scotland Sun Yat Sen Univ Sch Biomed Engn Guangzhou Guangdong Peoples R China Royal Brompton Hosp Cardiovasc Res Ctr London England
the destitution of image data and corresponding expert annotations limit the training capacities of AI diagnostic models and potentially inhibit their performance. To address such a problem of data and label scarcity,... 详细信息
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DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification  1st
DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular ...
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1st MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, UWF4DR 2024, Held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024
作者: Dong, Xuanzhao Wang, Yalin Chen, Yanxi Li, Xin Wang, Hao Qiu, Peijie Chen, Xiwen Razi, Abolfazl Xiong, Yujian Dumitrascu, Oana M. Zhu, Wenhui School of Computing and Augmented Intelligence Arizona State University Tempe United States School of Computing Clemson University Clemson United States McKelvey School of Engineering Washington University in St. Louis St. Louis United States Department of Neurology Mayo Clinic Rochester United States
Diabetic retinopathy (DR) is a leading cause of vision loss in diabetic patients. Early identification of DR relies highly on standard color fundus photography (CFP), which faces limitations due to a restricted field ... 详细信息
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Efficient Deep Learning Models for Ultra-widefield Fundus Imaging for Diabetic Retinopathy  1st
Efficient Deep Learning Models for Ultra-widefield Fundus Im...
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1st MICCAI Challenge on Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, UWF4DR 2024, Held in Conjunction with 27th international conference on medical image computing and computer assisted intervention, MICCAI 2024
作者: Qayyum, Abdul Mazher, Moona Niederer, Steven A. National Heart and Lung Institute Faculty of Medicine Imperial College London London United Kingdom Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom
Diabetic retinopathy (DR) is a leading cause of preventable blindness among working-age adults, with global cases expected to rise from 103 million in 2020 to 161 million by 2045. Early detection and treatment are ess... 详细信息
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Comparison of self-supervised learning methods for optical coherence tomography image classification  24
Comparison of self-supervised learning methods for optical c...
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8th international conference on medical and Health Informatics, ICMHI 2024
作者: Shim, Sungho Yang, Hyun-Lim Kim, Min-Soo Electrical Engineering and Computer Science Daegu Gyeongbuk Institute of Science and Technology Daegu Korea Republic of Office of Hospital Information Seoul National University Hospital Seoul Korea Republic of School of Computing Korea Advanced Institute of Science and Technology Daejeon Korea Republic of
Self-supervised learning enables deep learning algorithms to achieve high performance even with limited labeled data. Numerous self-supervised learning methods have been proposed, and several medical artificial intell... 详细信息
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Deep Learning-Based Multi-tasking System for Diabetic Retinopathy in UW-OCTA images  25th
Deep Learning-Based Multi-tasking System for Diabetic Retin...
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25th international conference on medical image computing and computer-assisted intervention , MICCAI 2022
作者: Cho, Jungrae Shon, Byungeun Jeong, Sungmoon Research Center for Artificial Intelligence in Medicine Kyungpook National University Hospital Daegu Korea Republic of Department of Medical Informatics School of Medicine Kyungpook National University Daegu Korea Republic of
Diabetic retinopathy causes various abnormality in retinal vessels. In addition, Detection and identification of vessel anomaly are challenging due to nature of complexity in retinal vessels. UW-OCTA provides high-res... 详细信息
来源: 评论
A Survey Analysis on Dental Caries Detection from RVG images Using Deep Learning  1
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8th international conference on Emerging Research in computing, Information, Communication and Applications, ERCICA 2023
作者: Nageswari, P. Pareek, Piyush Kumar Suresh Kumar, A. Aditya, Pai H. Guru Prasad, M.S. Kandasamy, Manivel Department of Mathematics Mahendra Institute of Technology Tamil Nadu Namakkal637503 India Computer Science and Engineering NITTE Meenakshi Institute of Technology Bangalore560064 India Karnataka Bengaluru562112 India Unitedworld School of Computational Intelligence Karnavati University Gujarat Gandhinagar382422 India
A rapid developing area of study in the healthcare industry is medical imaging. medical imaging is crucial for the early identification, diagnosis, and treatment of disorders. Ultrasound, magnetic resonance, computed ... 详细信息
来源: 评论