The positive impact of providing information from a computer-aided multispectral digital skin lesion analysis system on melanoma biopsy sensitivity

被引:0
|
作者
Rigel, Darrell [1 ]
Cockerell, Clay [2 ]
Yoo, Jane [3 ]
Robinson, June [4 ]
Roy, Mrinalini [5 ]
White, Richard [6 ]
机构
[1] NYU, Sch Med, New York, NY USA
[2] Univ Texas SW Med Ctr Dallas, Dallas, TX 75390 USA
[3] Albert Einstein Coll Med, Bronx, NY 10467 USA
[4] Northwestern Univ, Feinberg Sch Med, Chicago, IL 60611 USA
[5] MelaSciences, Irvington, NY USA
[6] IRIS Interact Horizons, Cody, WY USA
关键词
D O I
暂无
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
引用
收藏
页码:AB148 / AB148
页数:1
相关论文
共 50 条
  • [31] A Computer-Aided Feasibility Implementation to Detect Monkeypox from Digital Skin Images with Using Deep Artificial Intelligence Methods
    Ural, Ali Berkan
    [J]. TRAITEMENT DU SIGNAL, 2023, 40 (01) : 383 - 388
  • [33] A digital metrology process model (MPM) for measuring planning and data analysis and its application with a computer-aided system
    Chen, Zhehan
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 92 (5-8): : 1967 - 1977
  • [34] A digital metrology process model (MPM) for measuring planning and data analysis and its application with a computer-aided system
    Zhehan Chen
    [J]. The International Journal of Advanced Manufacturing Technology, 2017, 92 : 1967 - 1977
  • [35] Correction to: Computer-aided diagnosis (CAD) system based on multi-layer feature fusion network for skin lesion recognition in dermoscopy images
    Ibtissam Bakkouri
    Karim Afde
    [J]. Multimedia Tools and Applications, 2020, 79 : 20519 - 20519
  • [36] Assessing the Stand-Alone Sensitivity of Computer-Aided Detection With Cancer Cases From the Digital Mammographic Imaging Screening Trial
    Cole, Elodia B.
    Zhang, Zheng
    Marques, Helga S.
    Nishikawa, Robert M.
    Hendrick, R. Edward
    Yaffe, Martin J.
    Padungchaichote, Wittaya
    Kuzmiak, Cherie
    Chayakulkheeree, Jatuporn
    Conant, Emily F.
    Fajardo, Laurie L.
    Baum, Janet
    Gatsonis, Constantine
    Pisano, Etta
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2012, 199 (03) : W392 - W401
  • [37] Novel Digital Pathology Method for Computer-Aided Analysis of Histopathological Images Obtained from Dystrophic Muscle Biopsies
    Klonowski, Wlodzimierz
    Kuraszkiewicz, Bozenna
    Kaminska, Anna M.
    Kostera-Pruszczyk, Anna
    [J]. CURRENT TRENDS IN BIOMEDICAL ENGINEERING AND BIOIMAGES ANALYSIS, 2020, 1033 : 119 - 130
  • [38] Sensitivity of a Direct Computer-aided Detection System in Full-field Digital Mammography for Detection of Microcalcifications Not Associated with Mass or Architectural Distortion
    Scaranelo, Anabel M.
    Crystal, Pavel
    Bukhanov, Karina
    Helbich, Thomas H.
    [J]. CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2010, 61 (03): : 162 - 169
  • [39] Retrospective analysis of a computer-aided detection (CAD) system in full-field digital mammography in correlation to tumor histology
    Obenauer, S
    Sohns, C
    Werner, C
    Grabbe, E
    [J]. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2005, 177 (08): : 1103 - 1109
  • [40] Who could benefit the most from using a computer-aided detection system in full-field digital mammography?
    Jung, Na Young
    Kang, Bong Joo
    Kim, Hyeon Sook
    Cha, Eun Suk
    Lee, Jae Hee
    Park, Chang Suk
    Whang, In Young
    Kim, Sung Hun
    An, Yeong Yi
    Choi, Jae Jeong
    [J]. WORLD JOURNAL OF SURGICAL ONCOLOGY, 2014, 12