Random effects during training: Implications for deep learning-based medical image segmentation

被引：0
|
作者：
Åkesson, Julius [1 ,2 ]
Töger, Johannes [1 ,2 ]
Heiberg, Einar [1 ,2 ,3 ]
机构：
[1] Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
[2] Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden
[3] Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
来源：
Computers in Biology and Medicine | 2024年 / 180卷
关键词：
25;
D O I：
10.1016/j.compbiomed.2024.108944
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Deep Learning-Based Image Segmentation on Multimodal Medical Imaging
    Guo, Zhe
    Li, Xiang
    Huang, Heng
    Guo, Ning
    Li, Quanzheng
    IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES, 2019, 3 (02) : 162 - 169
  • [2] A Deep Learning-Based Interactive Medical Image Segmentation Framework
    Mikhailov, Ivan
    Chauveau, Benoit
    Bourdel, Nicolas
    Bartoli, Adrien
    APPLICATIONS OF MEDICAL ARTIFICIAL INTELLIGENCE, AMAI 2022, 2022, 13540 : 98 - 107
  • [3] Deep learning-based medical image segmentation with limited labels
    Chi, Weicheng
    Ma, Lin
    Wu, Junjie
    Chen, Mingli
    Lu, Weiguo
    Gu, Xuejun
    PHYSICS IN MEDICINE AND BIOLOGY, 2020, 65 (23):
  • [4] Synchronous Medical Image Augmentation framework for deep learning-based image segmentation
    Chen, Jianguo
    Yang, Nan
    Pan, Yuhui
    Liu, Hailing
    Zhang, Zhaolei
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2023, 104
  • [5] Selecting the best optimizers for deep learning-based medical image segmentation
    Mortazi, Aliasghar
    Cicek, Vedat
    Keles, Elif
    Bagci, Ulas
    FRONTIERS IN RADIOLOGY, 2023, 3
  • [6] A deep learning-based interactive medical image segmentation framework with sequential memory
    Mikhailov, Ivan
    Chauveau, Benoit
    Bourdel, Nicolas
    Bartoli, Adrien
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 245
  • [7] A Deep Learning-Based Image Semantic Segmentation Algorithm
    Shen, Chaoqun
    Sun, Zhongliang
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2023, 19 (01): : 98 - 108
  • [8] Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation
    Buddenkotte, Thomas
    Sanchez, Lorena Escudero
    Crispin-Ortuzar, Mireia
    Woitek, Ramona
    McCague, Cathal
    Brenton, James D.
    Oktem, Ozan
    Sala, Evis
    Rundo, Leonardo
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 163
  • [9] Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    Chung, Yeon Woong
    Kang, Dong Gyun
    Lee, Yong Oh
    Cho, Won-Kyung
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2022, (189):
  • [10] An Initial Longitudinal Performance Analysis for a Deep Learning-Based Medical Image Segmentation Model
    Wang, B.
    Dohopolski, M.
    Bai, T.
    Lin, M.
    Wu, J.
    Nguyen, D.
    Jiang, S.
    MEDICAL PHYSICS, 2022, 49 (06) : E401 - E401
12345