REAL-TIME AUTOMATED DIAGNOSIS OF COLORECTAL CANCER INVASION DEPTH USING A DEEP LEARNING MODEL WITH MULTI-MODAL DATA

被引：0
|
作者：
Lu, Zihua
Yao, Li-Wen
Yu, Honggang
机构：
来源：
GASTROINTESTINAL ENDOSCOPY | 2022年 / 95卷 / 06期
关键词：
D O I：
暂无
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
3696415
引用
收藏
页码：AB177 / AB178
页数：2
相关论文
共 50 条
  • [1] Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)
    Lu, Zihua
    Xu, Youming
    Yao, Liwen
    Zhou, Wei
    Gong, Wei
    Yang, Genhua
    Guo, Mingwen
    Zhang, Beiping
    Huang, Xu
    He, Chunping
    Zhou, Rui
    Deng, Yunchao
    Yu, Honggang
    GASTROINTESTINAL ENDOSCOPY, 2022, 95 (06) : 1186 - +
  • [2] Multi-modal deep-learning model for real-time prediction of recurrence in early-stage esophageal cancer: A multi-modal approach
    Jung, H. A.
    Lee, D.
    Park, B.
    Lee, K.
    Lee, H. Y.
    Kim, T. J.
    Jeon, Y. J.
    Lee, J.
    Cho, J. H.
    Kim, H. K.
    Choi, Y. S.
    Park, S.
    Sun, J-M.
    Lee, S-H.
    Ahn, J. S.
    Ahn, M-J.
    ANNALS OF ONCOLOGY, 2024, 35 : S883 - S883
  • [3] Multi-Modal Evolutionary Deep Learning Model for Ovarian Cancer Diagnosis
    Ghoniem, Rania M.
    Algarni, Abeer D.
    Refky, Basel
    Ewees, Ahmed A.
    SYMMETRY-BASEL, 2021, 13 (04):
  • [4] A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video)
    Du, Hongliu
    Dong, Zehua
    Wu, Lianlian
    Li, Yanxia
    Liu, Jun
    Luo, Chaijie
    Zeng, Xiaoquan
    Deng, Yunchao
    Cheng, Du
    Diao, Wenxiu
    Zhu, Yijie
    Tao, Xiao
    Wang, Junxiao
    Zhang, Chenxia
    Yu, Honggang
    GASTRIC CANCER, 2023, 26 (02) : 275 - 285
  • [5] A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video)
    Hongliu Du
    Zehua Dong
    Lianlian Wu
    Yanxia Li
    Jun Liu
    Chaijie Luo
    Xiaoquan Zeng
    Yunchao Deng
    Du Cheng
    Wenxiu Diao
    Yijie Zhu
    Xiao Tao
    Junxiao Wang
    Chenxia Zhang
    Honggang Yu
    Gastric Cancer, 2023, 26 : 275 - 285
  • [6] Deep Multi-lnstance Learning Using Multi-Modal Data for Diagnosis for Lymphocytosis
    Sahasrabudhe, Mihir
    Sujobert, Pierre
    Zacharaki, Evangelia, I
    Maurin, Eugenie
    Grange, Beatrice
    Jallades, Laurent
    Paragios, Nikos
    Vakalopoulou, Maria
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (06) : 2125 - 2136
  • [7] Diagnosis of Depth of Submucosal Invasion in Colorectal Cancer with AI Using Deep Learning
    Minami, Soichiro
    Saso, Kazuhiro
    Miyoshi, Norikatsu
    Fujino, Shiki
    Kato, Shinya
    Sekido, Yuki
    Hata, Tsuyoshi
    Ogino, Takayuki
    Takahashi, Hidekazu
    Uemura, Mamoru
    Yamamoto, Hirofumi
    Doki, Yuichiro
    Eguchi, Hidetoshi
    CANCERS, 2022, 14 (21)
  • [8] Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis
    Zhou, Tao
    Liu, Mingxia
    Fu, Huazhu
    Wang, Jun
    Shen, Jianbing
    Shao, Ling
    Shen, Dinggang
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT IV, 2019, 11767 : 629 - 638
  • [9] Real-time colorectal cancer diagnosis using PR-OCT with deep learning
    Zeng, Yifeng
    Xu, Shiqi
    Chapman, William C., Jr.
    Li, Shuying
    Alipour, Zahra
    Abdelal, Heba
    Chatterjee, Deyali
    Mutch, Matthew
    Zhu, Quing
    THERANOSTICS, 2020, 10 (06): : 2587 - 2596
  • [10] Rapid diagnosis of lung cancer by multi-modal spectral data combined with deep learning
    Xu, Han
    Lv, Ruichan
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2025, 335
12345