Automated segmentation of kidney and renal mass and automated detection of renal mass in CT urography using 3D U-Net-based deep convolutional neural network

被引：1
|
作者：
Zhiyong Lin
Yingpu Cui
Jia Liu
Zhaonan Sun
Shuai Ma
Xiaodong Zhang
Xiaoying Wang
机构：
[1] Peking University First Hospital,Department of Radiology
来源：
European Radiology | 2021年 / 31卷
关键词：
Kidney; Renal neoplasm; Tomography, X-ray computed; Deep learning; Computer-assisted diagnosis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：5021 / 5031
页数：10
相关论文
共 50 条
  • [21] AUTOMATED 3D MUSCLE SEGMENTATION FROM MRI DATA USING CONVOLUTIONAL NEURAL NETWORK
    Ghosh, Shrimanti
    Boulanger, Pierre
    Acton, Scott T.
    Blemeker, Silvia S.
    Ray, Nilanjan
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 4437 - 4441
  • [22] Automatic Tumor Segmentation in 3D Automated Breast Ultrasound using Convolutional Neural Network
    Lei, Yang
    He, Xiuxiu
    Wang, Tonghe
    Yao, Jincao
    Wang, Lijing
    Li, Wei
    Curran, Walter J.
    Liu, Tian
    Xu, Dong
    Yang, Xiaofeng
    MEDICAL IMAGING 2021: ULTRASONIC IMAGING AND TOMOGRAPHY, 2021, 11602
  • [23] Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module
    Yang, Guanyu
    Li, Guoqing
    Pan, Tan
    Kong, Youyong
    Wu, Jiasong
    Shu, Huazhong
    Luo, Limin
    Dillenseger, Jean-Louis
    Coatrieux, Jean-Louis
    Tang, Lijun
    Zhu, Xiaomei
    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 3790 - 3795
  • [24] A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images
    Khanna, Anita
    Londhe, Narendra D.
    Gupta, S.
    Semwal, Ashish
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2020, 40 (03) : 1314 - 1327
  • [25] Deep 3D Convolutional Neural Network for Automated Lung Cancer Diagnosis
    Mishra, Sumita
    Chaudhary, Naresh Kumar
    Asthana, Pallavi
    Kumar, Anil
    COMPUTING AND NETWORK SUSTAINABILITY, 2019, 75
  • [26] Automated CT-derived skeletal muscle mass determination in lower hind limbs of mice using a 3D U-Net deep learning network
    van der Heyden, Brent
    van de Worp, Wouter R. P. H.
    van Helvoort, Ardy
    Theys, Jan
    Schols, Annemie M. W. J.
    Langen, Ramon C. J.
    Verhaegen, Frank
    JOURNAL OF APPLIED PHYSIOLOGY, 2020, 128 (01) : 42 - 49
  • [27] Fully automated condyle segmentation using 3D convolutional neural networks
    Nayansi Jha
    Taehun Kim
    Sungwon Ham
    Seung-Hak Baek
    Sang-Jin Sung
    Yoon-Ji Kim
    Namkug Kim
    Scientific Reports, 12
  • [28] Fully automated condyle segmentation using 3D convolutional neural networks
    Jha, Nayansi
    Kim, Taehun
    Ham, Sungwon
    Baek, Seung-Hak
    Sung, Sang-Jin
    Kim, Yoon-Ji
    Kim, Namkug
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [29] Mass Detection on Automated Breast Ultrasound Volume Scans Using Convolutional Neural Network
    Muramatsu, Chisako
    Hiramatsu, Yuya
    Fujita, Hiroshi
    Kobayashi, Hironobu
    2018 INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT), 2018,
  • [30] Automated detection of traumatic bleeding in CT images using 3D U-Net# and multi-organ segmentation
    Nurfauzi, Rizki
    Baba, Ayaka
    Nakada, Taka-Aki
    Nakaguchi, Toshiya
    Nomura, Yukihiro
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2025, 11 (02):
12345