HIGH ACCURANCY AND EFFECTIVENESS WITH DEEP NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE IN PATHOLOGICAL DIAGNOSIS OF PROSTATE CANCER: INITIAL RESULTS

被引：0
|
作者：
Zhang, Chengwei
Zhang, Qing
Gao, Xiubin
Liu, Peng
Guo, Hongqian
机构：
来源：
JOURNAL OF UROLOGY | 2018年 / 199卷 / 04期
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：
MP70-04
引用
收藏
页码：E935 / E935
页数：1
相关论文
共 50 条
  • [21] ARTIFICIAL NEURAL NETWORKS IN THE DIAGNOSIS AND PROGNOSIS OF PROSTATE-CANCER - A PILOT-STUDY
    SNOW, PB
    SMITH, DS
    CATALONA, WJ
    JOURNAL OF UROLOGY, 1994, 152 (05): : 1923 - 1926
  • [22] Early prostate cancer diagnosis by using artificial neural networks and support vector machines
    Cinar, Murat
    Engin, Mehmet
    Engin, Erkan Zeki
    Atesci, Y. Ziya
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 6357 - 6361
  • [23] Cancer Diagnosis Using Artificial Neural Networks
    Nia, M. Baradaran
    Shogian, Sh.
    Zarifi, M. H.
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (07): : 233 - 236
  • [24] Artificial intelligence model with deep learning in nonalcoholic fatty liver disease diagnosis: genetic based artificial neural networks
    Ulger, Yakup
    Delik, Anil
    NUCLEOSIDES NUCLEOTIDES & NUCLEIC ACIDS, 2023, 42 (05): : 398 - 406
  • [25] Effectiveness and Cost-effectiveness of Artificial Intelligence-assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study
    Du, Xiaoyang
    Hao, Shuang
    Olsson, Henrik
    Kartasalo, Kimmo
    Mulliqi, Nita
    Rai, Balram
    Menges, Dominik
    Heintz, Emelie
    Egevad, Lars
    Eklund, Martin
    Clements, Mark
    EUROPEAN UROLOGY ONCOLOGY, 2025, 8 (01): : 80 - 86
  • [26] Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology
    Zhang, Jing
    Song, Yanlin
    Xia, Fan
    Zhu, Chenjing
    Zhang, Yingying
    Song, Wenpeng
    Xu, Jianguo
    Ma, Xuelei
    MEDICAL HYPOTHESES, 2017, 107 : 98 - 99
  • [27] Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis
    Mupparapu, Mel
    Wu, Chia-Wei
    Chen, Yu-Cheng
    QUINTESSENCE INTERNATIONAL, 2018, 49 (09): : 687 - 688
  • [28] Artificial Intelligence-Based Diagnosis of Oral Lichen Planus Using Deep Convolutional Neural Networks
    Achararit, Paniti
    Manaspon, Chawan
    Jongwannasiri, Chavin
    Phattarataratip, Ekarat
    Osathanon, Thanaphum
    Sappayatosok, Kraisorn
    EUROPEAN JOURNAL OF DENTISTRY, 2023, 17 (04) : 1275 - 1282
  • [29] Artificial intelligence in pathologic diagnosis, prognosis and prediction of prostate cancer
    Zhu, Min
    Sali, Rasoul
    Baba, Firas
    Khasawneh, Hamdi
    Ryndin, Michelle
    Leveillee, Raymond J.
    Hurwitz, Mark
    Lui, Kin
    Dixon, Christopher
    Zhang, David Y.
    AMERICAN JOURNAL OF CLINICAL AND EXPERIMENTAL UROLOGY, 2024, 12 (04): : 200 - 215
  • [30] Artificial Intelligence Approach in Prostate Cancer Diagnosis: Bibliometric Analysis
    Denysenko, Anastasiia
    Savchenko, Taras
    Dovbysh, Anatolii
    Romaniuk, Anatolii
    Moskalenko, Roman
    GALICIAN MEDICAL JOURNAL, 2022, 29 (02)
12345