Attention-based multiple-instance learning for Pediatric bone age assessment with efficient and interpretable

被引:0
|
作者
Wang, Chong [1 ,2 ,3 ,4 ]
Wu, Yang [2 ,3 ,4 ]
Wang, Chen [2 ,3 ,4 ]
Zhou, Xuezhi [2 ,3 ,4 ]
Niu, Yanxiang [2 ,3 ,4 ]
Zhu, Yu [2 ,3 ,4 ]
Gao, Xudong [2 ,3 ,4 ]
Wang, Chang [2 ,3 ,4 ,5 ]
Yu, Yi [2 ,3 ,4 ]
机构
[1] School of Biological Science and Medical Engineering, Beihang University, Beijing, China
[2] College of Medical Engineering, Xinxiang Medical University, Xinxiang, China
[3] Henan Engineering Technology Research Center of Neurosensor and Control, Xinxiang, China
[4] Xinxiang Engineering Technology Research Center of Intelligent Medical Imaging Diagnosis, Xinxiang, China
[5] The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Pediatrics
引用
收藏
相关论文
共 50 条
  • [41] Generalized attention-based deep multi-instance learning
    Lu Zhao
    Liming Yuan
    Kun Hao
    Xianbin Wen
    [J]. Multimedia Systems, 2023, 29 : 275 - 287
  • [42] Generalized attention-based deep multi-instance learning
    Zhao, Lu
    Yuan, Liming
    Hao, Kun
    Wen, Xianbin
    [J]. MULTIMEDIA SYSTEMS, 2023, 29 (01) : 275 - 287
  • [43] Attention-Based Multiple Instance Learning AI in the Prediction of Treatment for COVID-19 Patients
    Fuhrman, J.
    Wei, C.
    Katsnelson, B.
    Katsnelson, E.
    Li, H.
    Luo, Z.
    Dong, Z.
    Lure, F.
    Cheng, Z.
    Giger, M.
    [J]. MEDICAL PHYSICS, 2022, 49 (06) : E683 - E683
  • [44] A Multiple-instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images
    Loukas, Constantinos
    Gazis, Athanasios
    Schizas, Dimitrios
    [J]. PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES (BIOIMAGING), VOL 2, 2021, : 15 - 23
  • [45] Human action recognition with graph-based multiple-instance learning
    Yi, Yang
    Lin, Maoqing
    [J]. PATTERN RECOGNITION, 2016, 53 : 148 - 162
  • [46] Tongue Coating Classification Based on Multiple-Instance Learning and Deep Features
    Li, Xiaoqiang
    Tang, Yonghui
    Sun, Yue
    [J]. NEURAL INFORMATION PROCESSING (ICONIP 2019), PT IV, 2019, 1142 : 504 - 511
  • [47] Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis
    Hu, Huafeng
    Ye, Ruijie
    Thiyagalingam, Jeyan
    Coenen, Frans
    Su, Jionglong
    [J]. APPLIED INTELLIGENCE, 2023, 53 (17) : 20311 - 20326
  • [48] Instance-level loss based multiple-instance learning framework for acoustic scene classification
    Choi, Won-Gook
    Chang, Joon-Hyuk
    Yang, Jae-Mo
    Moon, Han-Gil
    [J]. APPLIED ACOUSTICS, 2024, 216
  • [49] Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis
    Huafeng Hu
    Ruijie Ye
    Jeyan Thiyagalingam
    Frans Coenen
    Jionglong Su
    [J]. Applied Intelligence, 2023, 53 : 20311 - 20326
  • [50] Attention-Based Multiple-Instance Learning-Derived Screening Model For Distinguishing Non-Hodgkin Lymphomas from Inflammatory Hepatic Diseases in Liver Biopsies: A Multicentric Learning Approach
    Farag, Mina
    Lametti, Andre
    Rajaram, Ajay
    Demko, Nadine
    Jafari, Pari
    Du, Alison Xiaotang
    Fiset, Pierre
    Marcus, Victoria
    Michel, Rene
    Chadburn, Amy
    Hart, John
    Evaristo, Gertruda
    [J]. LABORATORY INVESTIGATION, 2024, 104 (03) : S1654 - S1655