Artificial images for classifying diffuse lung opacities in thin-section computed tomography images

被引：0
|
作者：
Mitani, Y [1 ]
Matsunaga, N [1 ]
Hamamoto, Y [1 ]
机构：
[1] Ube Natl Coll Technol, Ube, Yamaguchi 7558555, Japan
来源：
PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3 | 2004年
关键词：
D O I：
10.1109/ICPR.2004.1334583
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The classification of diffuse lung opacities in thin-section computed tomography(HRCT) images is very fundamental for developing a computer-aided diagnosis(CAD) system. However, in designing such a CAD system, the number of the available samples is usually small. This leads to the difficulties of designing the CAD system. One way to overcome this problem is to generate artificial images from available real images by image rotation and reversal. In this paper,we discuss the use of artificial images for designing the CAD system.
引用
收藏
页码：530 / 533
页数：4
相关论文
共 50 条
  • [41] THE PREDICTIVE VALUE OF APPEARANCES ON THIN-SECTION COMPUTED-TOMOGRAPHY IN FIBROSING ALVEOLITIS
    WELLS, AU
    HANSELL, DM
    RUBENS, MB
    CULLINAN, P
    BLACK, CM
    DUBOIS, RM
    AMERICAN REVIEW OF RESPIRATORY DISEASE, 1993, 148 (04): : 1076 - 1082
  • [42] Single Subcortical Infarct: Pathomechanism Assessed by Thin-Section Computed Tomography Perfusion
    Shin, Dong Hoon
    Klotz, Ernst
    Yeop, Eung
    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2017, 26 (07): : 1440 - 1448
  • [43] Thin-section Computed Tomography findings before and after azithromycin treatment of neutrophilic reversible lung allograft dysfunction
    Pim A. de Jong
    Robin Vos
    Geert M. Verleden
    Bart M. Vanaudenaerde
    Johny A. Verschakelen
    European Radiology, 2011, 21 : 2466 - 2474
  • [44] Identification of Early T1b Lung Adenocarcinoma Based on Thin-Section Computed Tomography Findings
    Aokage, Keiju
    Yoshida, Junji
    Ishii, Genichiro
    Matsumura, Yuki
    Haruki, Tomohiro
    Hishida, Tomoyuki
    Nagai, Kanji
    JOURNAL OF THORACIC ONCOLOGY, 2013, 8 (10) : 1289 - 1294
  • [45] Relation Between Thin-Section Computed Tomography and Clinical Findings of Mucinous Adenocarcinoma
    Watanabe, Hajime
    Saito, Haruhiro
    Yokose, Tomoyuki
    Sakuma, Yuji
    Murakami, Shuji
    Kondo, Tetsuro
    Oshita, Fumihiro
    Ito, Hiroyuki
    Nakayama, Haruhiko
    Yamada, Kouzo
    Iwazaki, Masayuki
    ANNALS OF THORACIC SURGERY, 2015, 99 (03): : 975 - 982
  • [46] THIN-SECTION COMPUTED-TOMOGRAPHY IN THE EVALUATION OF NASO-ETHMOIDAL TRAUMA
    DALY, BD
    RUSSELL, JL
    DAVIDSON, MJ
    LAMB, JT
    CLINICAL RADIOLOGY, 1990, 41 (04) : 272 - 275
  • [47] Prognostic Impact of the Findings on Thin-Section Computed Tomography in stage I lung adenocarcinoma with visceral pleural invasion
    Mei Yuan
    Jin-Yuan Liu
    Teng Zhang
    Yu-Dong Zhang
    Hai Li
    Tong-Fu Yu
    Scientific Reports, 8
  • [48] Prognostic Impact of the Findings on Thin-Section Computed Tomography in stage I lung adenocarcinoma with visceral pleural invasion
    Yuan, Mei
    Liu, Jin-Yuan
    Zhang, Teng
    Zhang, Yu-Dong
    Li, Hai
    Yu, Tong-Fu
    SCIENTIFIC REPORTS, 2018, 8
  • [49] Thin-section Computed Tomography findings before and after azithromycin treatment of neutrophilic reversible lung allograft dysfunction
    de Jong, Pim A.
    Vos, Robin
    Verleden, Geert M.
    Vanaudenaerde, Bart M.
    Verschakelen, Johny A.
    EUROPEAN RADIOLOGY, 2011, 21 (12) : 2466 - 2474
  • [50] Mucin-producing adenocarcinoma of the lung -: Thin-section computed tomography findings in 48 patients and their effect on prognosis
    Tateishi, U
    Müller, NL
    Johkoh, T
    Maeshima, A
    Asamura, H
    Satake, M
    Kusumoto, M
    Arai, Y
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2005, 29 (03) : 361 - 368
12345