Computer Aided Detection Method of Lung Fissure Based on CT Images

被引:0
|
作者
Liu Yang [1 ]
Fan Linan [1 ]
Sun Shenshen [1 ]
机构
[1] Shenyang Univ, Shenyang, Peoples R China
关键词
Lung fissure; CT images; Detection method;
D O I
10.4028/www.scientific.net/AMR.466-467.596
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
CT images of Lung Fissure detection is an important means of centrifuged lung disease. In recent years has emerged many new theories, new methods, but none of those methods can satisfy all symptoms of image accurate testing goal. In summary of domestic and international scholars in recent years related researches on and the detecting lung fissure method classification and discussion, and points out their respective advantages and problems. In this paper, the relevant methods also expounds each detection lung fissure method based on the features of other researchers in lung fissure methods selection on some guidance.
引用
收藏
页码:596 / 601
页数:6
相关论文
共 50 条
  • [21] Computer-aided Lymph Node Detection in Abdominal CT Images
    Liu, Jiamin
    White, Jacob M.
    Summers, Ronald M.
    [J]. MEDICAL IMAGING 2010: COMPUTER - AIDED DIAGNOSIS, 2010, 7624
  • [22] Automated Ulcer Detection Method from CT Images for Computer Aided Diagnosis of Crohn's Disease
    Oda, Masahiro
    Kitasaka, Takayuki
    Furukawa, Kazuhiro
    Watanabe, Osamu
    Ando, Takafumi
    Goto, Hidemi
    Mori, Kensaku
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2013, E96D (04) : 808 - 818
  • [23] Polyp segmentation method for CT colonography computer aided detection
    Jerebko, AK
    Teerlink, SB
    Franaszek, M
    Summers, RM
    [J]. MEDICAL IMAGING 2003: PHYSIOLOGY AND FUNCTION: METHODS, SYSTEMS, AND APPLICATIONS, 2003, 5031 : 359 - 369
  • [24] Computer-aided Classification of Lung Nodules on CT Images with Expert Knowledge
    Wan, Chuangye
    Ma, Ling
    Liu, Xiabi
    Fei, Baowei
    [J]. MEDICAL IMAGING 2021: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2021, 11598
  • [25] Hybrid lung segmentation in chest CT images for computer-aided diagnosis
    Yim, Y
    Hong, H
    Shin, YG
    [J]. Healthcom 2005: 7th International Workshop on Enterprise Networking and Computing in Healthcare Industry, Proceedings, 2005, : 378 - 383
  • [26] He clinical test results of computer aided detection system for lung cancer using helical CT images
    Kubota, K
    Kubo, M
    Kawata, Y
    Niki, N
    Eguchi, K
    Omatsu, H
    Kakinuma, R
    Kaneko, M
    Moriyama, N
    [J]. MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 2001, 4322 : 1902 - 1911
  • [27] A computer aided diagnosis framework for detection and classification of interstitial lung diseases using computed tomography (CT) images
    Kumar, B. P. Santosh
    Reddy, A. Pullareddy
    Siva, D.
    Badashah, Syed Jahangir
    Shaik, Shafiulla Basha
    Karupusamy, Sathishkumar
    Mulam, Harikrishna
    [J]. APPLIED NANOSCIENCE, 2022, 12 (09) : 2533 - 2550
  • [28] A computer aided diagnosis framework for detection and classification of interstitial lung diseases using computed tomography (CT) images
    B. P. Santosh Kumar
    A. Pullareddy Reddy
    D. Siva
    Syed Jahangir Badashah
    Shafiulla Basha Shaik
    Sathishkumar Karupusamy
    Harikrishna Mulam
    [J]. Applied Nanoscience, 2022, 12 : 2533 - 2550
  • [29] Computer-aided detection of early interstitial lung diseases using low-dose CT images
    Park, Sang Cheol
    Tan, Jun
    Wang, Xingwei
    Lederman, Dror
    Leader, Joseph K.
    Kim, Soo Hyung
    Zheng, Bin
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2011, 56 (04): : 1139 - 1153
  • [30] Computer aided lung nodule detection on high resolution CT data
    Wiemker, R
    Rogalla, P
    Zwartkruis, A
    Blaffert, T
    [J]. MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3, 2002, 4684 : 677 - 688