Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning

被引:0
|
作者
Hyung Jun Park
Namu Park
Jang Ho Lee
Myeong Geun Choi
Jin-Sook Ryu
Min Song
Chang-Min Choi
机构
[1] University of Ulsan College of Medicine,Department of Pulmonary and Critical Care Medicine, Asan Medical Center
[2] University of Washington,Department of Biomedical Informatics and Medical Education, School of Medicine
[3] Mokdong Hospital,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine
[4] Ewha Womans University,Department of Nuclear Medicine, Asan Medical Center
[5] University of Ulsan College of Medicine,Department of Digital Analytics
[6] Yonsei University,Department of Oncology, Asan Medical Center
[7] University of Ulsan College of Medicine,Department of Information Medicine, Asan Medical Center
[8] University of Ulsan College of Medicine,undefined
关键词
Natural language processing; Auto-annotation; Deep learning; Lung cancer; Pseudo-labelling;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning
    Barlow, Stephen H.
    Chicklore, Sugama
    He, Yulan
    Ourselin, Sebastien
    Wagner, Thomas
    Barnes, Anna
    Cook, Gary J. R.
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2024, 24 (01)
  • [32] Deep natural language processing for automated ascertainment of cancer outcomes from clinician progress notes
    Kehl, Kenneth L.
    Xu, Wenxin
    Elmarakeby, Haitham A.
    Hassett, Michael J.
    Nyman, Jackson
    Johnson, Bruce E.
    Van Allen, Eliezer M.
    Schrag, Deb
    CANCER RESEARCH, 2020, 80 (16)
  • [33] Machine Learning-Based Natural Language Processing for Automated Extraction and Standardized Annotation of IHC Results from Free Text Pathology Reports
    Kim, Young Suk
    Roehrl, Michael H. A.
    MODERN PATHOLOGY, 2019, 32
  • [34] Automated Extraction and Longitudinal Analysis of Ground Glass OpacityFeatures in Lung Cancer Patients Powered by Natural Language Processing
    Lee, K.
    Liu, Z.
    Ma, M.
    Chandran, U.
    Kalsekar, I.
    Laxmanan, B.
    Li, M.
    Mai, Y.
    Gilman, C.
    Wang, T.
    Zhang, M.
    Ai, L.
    Aggarwal, P.
    Pan, Q.
    Oh, W.
    Schadt, E.
    Wang, X.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2022, 205
  • [35] Machine Learning-Based Natural Language Processing for Automated Extraction and Standardized Annotation of IHC Results from Free Text Pathology Reports
    Kim, Young Suk
    Roehrl, Michael H. A.
    LABORATORY INVESTIGATION, 2019, 99
  • [36] PET-CT Fusion Based Outcome Prediction in Lung Cancer using Deep and Handcrafted Radiomics Features and Machine Learning
    Gorji, Arman
    Jouzdani, Ali Fathi
    Sanati, Nima
    Hosseinzadeh, Mahdi
    Mahboubisarighieh, Ali
    Rezaeijo, Seyed Masoud
    Maghsudi, Mehdi
    Moore, Sara
    Bonnie, Leung
    Uribe, Carlos
    Ho, Cheryl
    Rahmim, Arman
    Salmanpour, Mohammad R.
    JOURNAL OF NUCLEAR MEDICINE, 2023, 64
  • [37] Automated Lung Cancer Segmentation Using a PET and CT Dual-Modality Deep Learning Neural Network
    Wang, Siqiu
    Mahon, Rebecca
    Weiss, Elisabeth
    Jan, Nuzhat
    Taylor, Ross James
    McDonagh, Philip Reed
    Quinn, Bridget
    Yuan, Lulin
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2023, 115 (02): : 529 - 539
  • [38] Automated Lung Cancer Segmentation Using a Dual-Modality Deep Learning Network with PET and CT Images
    Wang, S.
    Mahon, R. N.
    Weiss, E.
    Jan, N.
    Taylor, R. J.
    McDonagh, P. R. W., III
    Quinn, B. A.
    Yuan, L.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2022, 114 (03): : E557 - E558
  • [39] Anatomic stage extraction from medical reports of breast Cancer patients using natural language processing
    Deshmukh, Pratiksha R.
    Phalnikar, Rashmi
    HEALTH AND TECHNOLOGY, 2020, 10 (06) : 1555 - 1570
  • [40] Anatomic stage extraction from medical reports of breast Cancer patients using natural language processing
    Pratiksha R. Deshmukh
    Rashmi Phalnikar
    Health and Technology, 2020, 10 : 1555 - 1570