2D and 3D bladder segmentation using U-Net-based deep-learning

被引：0
|
作者：
Ma, Xiangyuan [3 ]
Hadjiiski, Lubomir [1 ]
Wei, Jun [1 ]
Chan, Heang-Ping [1 ]
Cha, Kenny [2 ]
Cohan, Richard H. [1 ]
Caoili, Elaine M. [1 ]
Samala, Ravi [1 ]
Zhou, Chuan [1 ]
Lu, Yao [3 ]
机构：
[1] Department of Radiology, University of Michigan, Ann Arbor,MI, United States
[2] Center for Devices and Radiological Health, U.S. FDA, Silver Spring,MD, United States
[3] School of Data and Computer Science, Sun Yat-Sen University, Guangzhou,510275, China
来源：
Progress in Biomedical Optics and Imaging - Proceedings of SPIE | 2019年 / 10950卷
关键词：
461.1 Biomedical Engineering - 461.4 Ergonomics and Human Factors Engineering - 723.5 Computer Applications - 746 Imaging Techniques - 901.2 Education - 921.6 Numerical Methods - 922.2 Mathematical Statistics;
D O I：
109500Y
中图分类号：
学科分类号：
摘要：
Computer aided diagnosis
引用
收藏
相关论文
共 50 条
  • [11] Does Anatomical Contextual Information Improve 3D U-Net-Based Brain Tumor Segmentation?
    Tampu, Iulian Emil
    Haj-Hosseini, Neda
    Eklund, Anders
    DIAGNOSTICS, 2021, 11 (07)
  • [12] Enhancing 3D Lung Infection Segmentation with 2D U-Shaped Deep Learning Variants
    Pravitasari, Anindya Apriliyanti
    Asnawi, Mohammad Hamid
    Nugraha, Farid Azhar Lutfi
    Darmawan, Gumgum
    Hendrawati, Triyani
    APPLIED SCIENCES-BASEL, 2023, 13 (21):
  • [13] A Novel U-Net Based Deep Learning Method for 3D Cardiovascular MRI Segmentation
    Lu, Yinan
    Zhao, Yan
    Chen, Xing
    Guo, Xiaoxin
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [14] Volumetric Hippocampus Segmentation Using 3D U-Net Based On Transfer Learning
    Widodo, Ramadhan Sanyoto Sugiharso
    Purnama, I. Ketut Eddy
    Rachmadi, Reza Fuad
    2024 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND VIRTUAL ENVIRONMENTS FOR MEASUREMENT SYSTEMS AND APPLICATIONS, CIVEMSA 2024, 2024,
  • [15] Deep-learning based 3D birefringence image generation using 2D multi-view holographic images
    Kim, Hakdong
    Jun, Taeheul
    Lee, Hyoung
    Chae, Byung Gyu
    Yoon, Minsung
    Kim, Cheongwon
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [16] 3D Neuron Segmentation Based on 3D DSAC U-Net
    Guilin University of Electronic Technology, School of Computer Science and Information Security, Guilin
    541004, China
    不详
    514000, China
    不详
    541004, China
    不详
    541004, China
    Proc. - Int. Conf. Digit. Home, ICDH, (322-326):
  • [17] Bladder Wall Segmentation using U-Net based Deep Learning
    Ivanitskiy, Michael
    Hadjiiski, Lubomir
    Chan, Heang-Ping
    Samala, Ravi
    Cohan, Richard H.
    Caoili, Elaine M.
    Weizer, Alon
    Alva, Ajjai
    Wei, Jun
    Zhou, Chuan
    MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS, 2020, 11314
  • [18] Extending 2D Deep Learning Architectures to 3D Image Segmentation Problems
    Albiol, Alberto
    Albiol, Antonio
    Albiol, Francisco
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2018, PT II, 2019, 11384 : 73 - 82
  • [19] Deep-Learning Segmentation of Bleomycin-Induced Pulmonary Fibrosis in Rats Using U-Net 3+by 3D UTE-MRI
    Taran, T. V.
    Pavlova, O. S.
    Gulyaev, M. V.
    Ivanov, E. V.
    Pirogov, Y. A.
    APPLIED MAGNETIC RESONANCE, 2024, 55 (11) : 1455 - 1465
  • [20] Automatic Liver Segmentation with CT Images based on 3D U-net Deep Learning Approach
    Su, Ting-Yu
    Yang, Wei-Tse
    Cheng, Tsu-Chi
    He, Yi-Fei
    Fang, Yu-Hua
    INTERNATIONAL FORUM ON MEDICAL IMAGING IN ASIA 2019, 2019, 11050
12345