Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

被引:0
|
作者
Satish E. Viswanath
Prathyush V. Chirra
Michael C. Yim
Neil M. Rofsky
Andrei S. Purysko
Mark A. Rosen
B Nicolas Bloch
Anant Madabhushi
机构
[1] Department of Biomedical Engineering,Department of Radiology
[2] Case Western Reserve University,Department of Radiology
[3] College of Medicine,Department of Radiology
[4] Northeast Ohio Medical University,Department of Radiology
[5] UT Southwestern Medical Center,undefined
[6] Cleveland Clinic,undefined
[7] Hospital of the University of Pennsylvania,undefined
[8] Boston University School of Medicine,undefined
来源
关键词
Classifiers; Radiomics; Prostate cancer; MRI; Comparison;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] THE DETECTION OF ACUTE MYOCARDITIS USING CARDIOVASCULAR MRI: A CLINICAL STUDY COMPARING T1-MAPPING, T2-WEIGHTED AND LATE GADOLINIUM ENHANCEMENT IMAGING
    Ferreira, V.
    Piechnik, S.
    Dall'Armellina, E.
    Karamitsos, T.
    Francis, J.
    Ntusi, N.
    Holloway, C.
    Choudhury, R.
    Kardos, A.
    Robson, M.
    Friedrich, M.
    Neubauer, S.
    HEART, 2013, 99 : A53 - A54
  • [22] Diagnosis of transition zone prostate cancer using T2-weighted (T2W) MRI: comparison of subjective features and quantitative shape analysis
    Krishna, Satheesh
    Schieda, Nicola
    McInnes, Matthew D. F.
    Flood, Trevor A.
    Thornhill, Rebecca E.
    EUROPEAN RADIOLOGY, 2019, 29 (03) : 1133 - 1143
  • [23] Diagnosis of transition zone prostate cancer using T2-weighted (T2W) MRI: comparison of subjective features and quantitative shape analysis
    Satheesh Krishna
    Nicola Schieda
    Matthew DF McInnes
    Trevor A. Flood
    Rebecca E. Thornhill
    European Radiology, 2019, 29 : 1133 - 1143
  • [24] Radiomic Features of Primary Rectal Cancers on Baseline T2-Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study
    Antunes, Jacob T.
    Ofshteyn, Asya
    Bera, Kaustav
    Wang, Erik Y.
    Brady, Justin T.
    Willis, Joseph E.
    Friedman, Kenneth A.
    Marderstein, Eric L.
    Kalady, Matthew F.
    Stein, Sharon L.
    Purysko, Andrei S.
    Paspulati, Rajmohan
    Gollamudi, Jayakrishna
    Madabhushi, Anant
    Viswanath, Satish E.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 52 (05) : 1531 - 1541
  • [25] Prostate Cancer: Apparent Diffusion Coefficient Map with T2-weighted Images for Detection-A Multireader Study
    Lim, Hyun Kyung
    Kim, Jeong Kon
    Kim, Kyung Ah
    Cho, Kyoung-Sik
    RADIOLOGY, 2009, 250 (01) : 145 - 151
  • [26] Detection of the index tumour and tumour volume in prostate cancer using T2-weighted and diffusion-weighted magnetic resonance imaging (MRI) alone
    Rud, Erik
    Klotz, Dagmar
    Rennesund, Kristin
    Baco, Eduard
    Berge, Viktor
    Lien, Diep
    Svindland, Aud
    Lundeby, Eskild
    Berg, Rolf E.
    Eri, Lars M.
    Eggesbo, Heidi B.
    BJU INTERNATIONAL, 2014, 114 (6B) : E32 - E42
  • [27] Detection of prostate cancer by integration of line-scan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; a multichannel statistical classifier
    Chan, I
    Wells, W
    Mulkern, RV
    Haker, S
    Zhang, JQ
    Zou, KH
    Maier, SE
    Tempany, CMC
    MEDICAL PHYSICS, 2003, 30 (09) : 2390 - 2398
  • [28] Fully automated detection of prostate transition zone tumors on T2-weighted and apparent diffusion coefficient (ADC) map MR images using U-Net ensemble
    Wong, Timothy
    Schieda, Nicola
    Sathiadoss, Paul
    Haroon, Mohammad
    Abreu-Gomez, Jorge
    Ukwatta, Eranga
    MEDICAL PHYSICS, 2021, 48 (11) : 6889 - 6900
  • [29] T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study
    Wei, Mingxiang
    Zhang, Yu
    Bai, Genji
    Ding, Cong
    Xu, Haimin
    Dai, Yao
    Chen, Shuangqing
    Wang, Hong
    INSIGHTS INTO IMAGING, 2022, 13 (01)
  • [30] T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study
    Mingxiang Wei
    Yu Zhang
    Genji Bai
    Cong Ding
    Haimin Xu
    Yao Dai
    Shuangqing Chen
    Hong Wang
    Insights into Imaging, 13