A Comprehensive Investigation of Deep Learning Segmentation Software for Head and Neck Cancer

被引：0
|
作者：
Rana, S. [1 ]
Padannayil, N. Manthala [1 ]
Pokharel, S. [1 ]
Demez, N. [1 ]
Saini, G. [1 ]
Alphonse, A. [1 ]
Jacques, R. [1 ]
Espiricueta, E. [1 ]
Ferreira, A. Motta [1 ]
Kasper, M. [1 ]
机构：
[1] Boca Raton Reg Hosp, Lynn Canc Inst, Baptist Hlth South Florida, Boca Raton, FL USA
来源：
MEDICAL PHYSICS | 2024年 / 51卷 / 10期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
PO- GPV-T
引用
收藏
页码：7963 / 7963
页数：1
相关论文
共 50 条
  • [31] EXPLORING UNCERTAINTY FOR CLINICAL ACCEPTABILITY IN HEAD AND NECK DEEP LEARNING-BASED OAR SEGMENTATION
    Cubero, L.
    Serrano, J.
    Castelli, J.
    de Crevoisier, R.
    Acosta, O.
    Pascau, J.
    2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI, 2023,
  • [32] Tackling the class imbalance problem of deep learning-based head and neck organ segmentation
    Tappeiner, Elias
    Welk, Martin
    Schubert, Rainer
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2022, 17 (11) : 2103 - 2111
  • [33] Feasibility Study of Deep Learning Tumor Segmentation for a Merged Tumor Dataset: Head & Neck and Limbs
    Park, Ye-In
    Kang, Sang-Won
    Kim, Kyeong-Hyeon
    Suh, Tae Suk
    Chung, Jin-Beom
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2020, 77 (11) : 1049 - 1054
  • [34] Tuning deep learning models for automatic segmentation of head and neck cancers in PET/CT images
    Huynh, B. N.
    Groendahl, A. R.
    Moe, Y. M.
    Tomic, O.
    Dale, E.
    Malinen, E.
    Futsaether, C. M.
    RADIOTHERAPY AND ONCOLOGY, 2021, 161 : S1374 - S1376
  • [35] The Impact Of Training Sample Size On Deep Learning Based Organ Auto Segmentation For Head Neck
    Fang, Y.
    Wang, J.
    Chen, S.
    Guo, Y.
    Zhang, Z.
    Hu, W.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E775 - E776
  • [36] Deep Learning-Augmented Head and Neck Organs at Risk Segmentation From CT Volumes
    Wang, Wei
    Wang, Qingxin
    Jia, Mengyu
    Wang, Zhongqiu
    Yang, Chengwen
    Zhang, Daguang
    Wen, Shujing
    Hou, Delong
    Liu, Ningbo
    Wang, Ping
    Wang, Jun
    FRONTIERS IN PHYSICS, 2021, 9
  • [37] Deep-Learning-Based Automatic Segmentation of Head and Neck Organs for Radiation Therapy in Dogs
    Park, Jeongsu
    Choi, Byoungsu
    Ko, Jaeeun
    Chun, Jaehee
    Park, Inkyung
    Lee, Juyoung
    Kim, Jayon
    Kim, Jaehwan
    Eom, Kidong
    Kim, Jin Sung
    FRONTIERS IN VETERINARY SCIENCE, 2021, 8
  • [38] Tackling the class imbalance problem of deep learning-based head and neck organ segmentation
    Elias Tappeiner
    Martin Welk
    Rainer Schubert
    International Journal of Computer Assisted Radiology and Surgery, 2022, 17 : 2103 - 2111
  • [39] Feasibility Study of Deep Learning Tumor Segmentation for a Merged Tumor Dataset: Head & Neck and Limbs
    Ye-In Park
    Sang-Won Kang
    Kyeong-Hyeon Kim
    Tae Suk Suh
    Jin-Beom Chung
    Journal of the Korean Physical Society, 2020, 77 : 1049 - 1054
  • [40] Oligometastatic head and neck cancer: Comprehensive review
    Thomas, Toms Vengaloor
    Packianathan, Satyaseelan
    Bhanat, Eldrin
    Albert, Ashley
    Abraham, Anu
    Gordy, Xiaoshan
    Kanakamedala, Madhava
    Mehta, Divyang
    Vijayakumar, Srinivasan
    HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK, 2020, 42 (08): : 2194 - 2201
12345