Automated histological classification of whole-slide images of gastric biopsy specimens

被引:0
|
作者
Hiroshi Yoshida
Taichi Shimazu
Tomoharu Kiyuna
Atsushi Marugame
Yoshiko Yamashita
Eric Cosatto
Hirokazu Taniguchi
Shigeki Sekine
Atsushi Ochiai
机构
[1] National Cancer Center Hospital,Division of Pathology and Clinical Laboratories
[2] National Cancer Center,Epidemiology and Prevention Group, Center for Public Health Sciences
[3] NEC Corporation,Medical Solutions Division
[4] NEC Corporation,Space System Division
[5] NEC Laboratories America,Department of Machine Learning
[6] National Cancer Center Research Institute,Division of Molecular Pathology
[7] National Cancer Center,Division of Pathology, Research Center for Innovative Oncology
来源
Gastric Cancer | 2018年 / 21卷
关键词
Gastric biopsy; Automated image analysis; Artificial intelligence; Histopathological classification;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:249 / 257
页数:8
相关论文
共 50 条
  • [31] Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images
    Jang, Hyun-Jong
    Song, In-Hye
    Lee, Sung-Hak
    CANCERS, 2021, 13 (15)
  • [32] Computer-aided prognosis of neuroblastoma: Classification of stromal development on whole-slide images
    Sertel, Olcay
    Kong, Jun
    Shimada, Hiroyuki
    Catalyurek, Umit
    Saltz, Joel H.
    Gurcan, Metin
    MEDICAL IMAGING 2008: COMPUTER-AIDED DIAGNOSIS, PTS 1 AND 2, 2008, 6915
  • [33] Real-time segmentation and classification of whole-slide images for tumor biomarker scoring
    Hasan, Md Jahid
    Ahmad, Wan Siti Halimatul Munirah Wan
    Fauzi, Mohammad Faizal Ahmad
    Lee, Jenny Tung Hiong
    Khor, See Yee
    Looi, Lai Meng
    Abas, Fazly Salleh
    Adam, Afzan
    Chan, Elaine Wan Ling
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2024, 36 (09)
  • [34] MULTI-CLASS SINGLE-LABEL CLASSIFICATION OF HISTOPATHOLOGICAL WHOLE-SLIDE IMAGES
    Bug, Daniel
    Schueler, Julia
    Feuerhake, Friedrich
    Merhof, Dorit
    2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2016, : 1392 - 1396
  • [35] Machine Learning Based Classification of Colorectal Cancer Tumour Tissue in Whole-Slide Images
    Morkunas, Mindaugas
    Treigys, Povilas
    Bernataviciene, Jolita
    Laurinavicius, Arvydas
    Korvel, Grazina
    INFORMATICA, 2018, 29 (01) : 75 - 90
  • [36] Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development
    Sertel, O.
    Kong, J.
    Shimada, H.
    Catalyurek, U. V.
    Saltz, J. H.
    Gurcan, M. N.
    PATTERN RECOGNITION, 2009, 42 (06) : 1093 - 1103
  • [37] FAST MCT OPTIMIZATION FOR THE COMPRESSION OF WHOLE-SLIDE IMAGES
    Hernandez-Cabronero, Miguel
    Sanchez, Victor
    Auli-Llinas, Francesc
    Serra-Sagrista, Joan
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 2370 - 2374
  • [38] Stain Specific Standardization of Whole-Slide Histopathological Images
    Bejnordi, Babak Ehteshami
    Litjens, Geert
    Timofeeva, Nadya
    Otte-Holler, Irene
    Homeyer, Andre
    Karssemeijer, Nico
    van der Laak, Jeroen A. W. M.
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (02) : 404 - 415
  • [39] Bayesian Collaborative Learning for Whole-Slide Image Classification
    Yu, Jin-Gang
    Wu, Zihao
    Ming, Yu
    Deng, Shule
    Wu, Qihang
    Xiong, Zhongtang
    Yu, Tianyou
    Xia, Gui-Song
    Jiang, Qingping
    Li, Yuanqing
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 42 (06) : 1809 - 1821
  • [40] Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images
    Bejnordi, Babak Ehteshami
    Balkenhol, Maschenka
    Litjens, Geert
    Holland, Roland
    Bult, Peter
    Karssemeijer, Nico
    van der Laak, Jeroen A. W. M.
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2016, 35 (09) : 2141 - 2150