DEVELOPMENT AND VALIDATION OF RESNET-3D BY DEEP LEARNING AND SUPPORT VECTOR MACHINE IN PREDICTION OF SYNCHRONOUS PERITONEAL CARCINOMATOSIS IN COLORECTAL CANCER.

被引:0
|
作者
Yuan, Z.
Xu, T.
Wang, H.
Yao, J.
Qin, X.
Wang, J.
Cai, J.
Wang, H.
机构
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
QS553
引用
收藏
页码:E196 / E196
页数:1
相关论文
共 10 条
  • [1] Development and Validation of an Image-based Deep Learning Algorithm for Detection of Synchronous Peritoneal Carcinomatosis in Colorectal Cancer
    Yuan, Zixu
    Xu, Tingyang
    Cai, Jian
    Zhao, Yebiao
    Cao, Wuteng
    Fichera, Alessandro
    Liu, Xiaoxia
    Yao, Jianhua
    Wang, Hui
    [J]. ANNALS OF SURGERY, 2022, 275 (04) : E645 - E651
  • [2] The Prediction of Peritoneal Carcinomatosis in Patients with Colorectal Cancer Using Machine Learning
    Bejan, Valentin
    Dragoi, Elena-Niculina
    Curteanu, Silvia
    Scripcariu, Viorel
    Filip, Bogdan
    [J]. HEALTHCARE, 2022, 10 (08)
  • [3] A computed tomography-based nomogram for preoperative prediction of synchronous peritoneal carcinomatosis in colorectal cancer.
    Yuan, Zixu
    Cao, Wuteng
    Wang, Hui
    Cai, Jian
    Wu, Lei
    Qin, Xiusen
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (04)
  • [4] A COMPUTED TOMOGRAPHY-BASED NOMOGRAM FOR PREOPERATIVE PREDICTION OF SYNCHRONOUS PERITONEAL CARCINOMATOSIS IN COLORECTAL CANCER.
    Yuan, Z.
    Wang, H.
    Qin, X.
    Wang, H.
    Cai, J.
    Cao, W.
    Wu, L.
    Chu, L.
    [J]. DISEASES OF THE COLON & RECTUM, 2020, 63 (06) : E196 - E196
  • [5] Development and Validation of a 3D Resnet Model for Prediction of Lymph Node Metastasis in Head and Neck Cancer Patients
    Lin, Yi-Hui
    Lin, Chieh-Ting
    Chang, Ya-Han
    Lin, Yen-Yu
    Chen, Jen-Jee
    Huang, Chun-Rong
    Hsu, Yu-Wei
    You, Weir-Chiang
    [J]. JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024, 37 (02): : 679 - 687
  • [6] Development and validation of machine learning models for postoperative venous thromboembolism prediction in colorectal cancer inpatients: a retrospective study br
    Qin, Li
    Liang, Zhikun
    Xie, Jingwen
    Ye, Guozeng
    Guan, Pengcheng
    Huang, Yaoyao
    Li, Xiaoyan
    [J]. JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2023, 14 (01) : 220 - +
  • [7] Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT
    Tomoaki Sonobe
    Hitoshi Tabuchi
    Hideharu Ohsugi
    Hiroki Masumoto
    Naohumi Ishitobi
    Shoji Morita
    Hiroki Enno
    Daisuke Nagasato
    [J]. International Ophthalmology, 2019, 39 : 1871 - 1877
  • [8] Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT
    Sonobe, Tomoaki
    Tabuchi, Hitoshi
    Ohsugi, Hideharu
    Masumoto, Hiroki
    Ishitobi, Naohumi
    Morita, Shoji
    Enno, Hiroki
    Nagasato, Daisuke
    [J]. INTERNATIONAL OPHTHALMOLOGY, 2019, 39 (08) : 1871 - 1877
  • [9] Prediction and the influencing factor study of colorectal cancer hospitalization costs in China based on machine learning-random forest and support vector regression: a retrospective study
    Gao, Jun
    Liu, Yan
    [J]. FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [10] Development And Validation Of A Deep Machine Learning Tool For Automated Intraventricular Hemorrhage Segmentation And Volume Measurement Using 3d Convolutional Neural Networks
    Wong, Alexander
    Baig, Saif
    Chen Zejia
    Volders, David
    Huynh, Thien
    [J]. STROKE, 2022, 53