HISTOPATHOLOGY-INFORMED RADIOLOGY BIOMARKERS IMPROVE ARTIFICIAL INTELLIGENCE-BASED DETECTION OF AGGRESSIVE PROSTATE CANCER ON MAGNETIC RESONANCE IMAGING

被引：0
|
作者：
Bhattacharya, Indrani
Stacke, Karin
Fan, Richard
Brooks, James
Rusu, Mirabela
Sonn, Geoffrey
机构：
来源：
JOURNAL OF UROLOGY | 2023年 / 209卷
基金：
美国国家卫生研究院;
关键词：
D O I：
暂无
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
PD22-02
引用
收藏
页码：E664 / E665
页数：2
相关论文
共 50 条
  • [31] Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs
    Mahmood, Tahir
    Arsalan, Muhammad
    Owais, Muhammad
    Lee, Min Beom
    Park, Kang Ryoung
    JOURNAL OF CLINICAL MEDICINE, 2020, 9 (03)
  • [32] Fully automated artificial intelligence-based cine cardiac magnetic resonance image quantification
    Kazaj, P. Mohammadi
    Baj, G.
    Schutze, J.
    Berto, M. Boscolo
    Stark, A.
    Valenzuela, W.
    Graeni, C.
    Shiri, I
    EUROPEAN HEART JOURNAL, 2024, 45
  • [33] ARTIFICIAL INTELLIGENCE BASED DETECTION OF PARKINSON'S DISEASE IN MAGNETIC RESONANCE IMAGING BRAIN SCANS
    Courtman, Megan
    Thurston, Mark
    McGavin, Lucy
    Caroll, Camille
    Sun, Lingfen
    Ifeachor, Emmanuel
    Mullin, Stephen
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2022, 93 (09):
  • [34] Artificial Intelligence based detection of Parkinson's disease in Magnetic Resonance Imaging brain scans
    Courtman, M.
    Thurston, M.
    McGavin, L.
    Carroll, C.
    Sun, L.
    Ifeachor, E.
    Mullin, S.
    MOVEMENT DISORDERS, 2022, 37 : S67 - S67
  • [35] Application of magnetic resonance imaging and artificial intelligence algorithms in cancer screening
    Guo, Jian
    Xue, Yu
    SLAS TECHNOLOGY, 2024, 29 (06):
  • [36] Impact of Gleason Subtype on Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging: Correlation with Final Histopathology
    Truong, Matthew
    Hollenberg, Gary
    Weinberg, Eric
    Messing, Edward M.
    Miyamoto, Hiroshi
    Frye, Thomas P.
    JOURNAL OF UROLOGY, 2017, 198 (02): : 316 - 321
  • [37] Hyperpolarized Magnetic Resonance and Artificial Intelligence: Frontiers of Imaging in Pancreatic Cancer
    Enriquez, Jose S.
    Chu, Yan
    Pudakalakatti, Shivanand
    Hsieh, Kang Lin
    Salmon, Duncan
    Dutta, Prasanta
    Millward, Niki Zacharias
    Lurie, Eugene
    Millward, Steven
    McAllister, Florencia
    Maitra, Anirban
    Sen, Subrata
    Killary, Ann
    Zhang, Jian
    Jiang, Xiaoqian
    Bhattacharya, Pratip K.
    Shams, Shayan
    JMIR MEDICAL INFORMATICS, 2021, 9 (06)
  • [38] Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students
    Lyu, Xiaohong
    Dong, Liang
    Fan, Zhongkai
    Sun, Yu
    Zhang, Xianglin
    Liu, Ning
    Wang, Dongdong
    BMC MEDICAL EDUCATION, 2024, 24 (01)
  • [39] Feasibility and time gain of implementing artificial intelligence-based delineation tools in daily magnetic resonance image-guided adaptive prostate cancer radiotherapy
    Konrad, Maximilian Lukas
    Brink, Carsten
    Bertelsen, Anders Smedegaard
    Lorenzen, Ebbe Laugaard
    Celik, Bahar
    Nyborg, Christina Junker
    Dysager, Lars
    Schytte, Tine
    Bernchou, Uffe
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2025, 33
  • [40] Artificial Intelligence-Based Radiotherapy Contouring and Planning to Improve Global Access to Cancer Care
    Court, Laurence E.
    Aggarwal, Ajay
    Jhingran, Anuja
    Naidoo, Komeela
    Netherton, Tucker
    Olanrewaju, Adenike
    Peterson, Christine
    Parkes, Jeannette
    Simonds, Hannah
    Trauernicht, Christoph
    Zhang, Lifei
    Beadle, Beth M.
    JCO GLOBAL ONCOLOGY, 2024, 10
12345