Artificial Intelligence and Pathomics: Prostate Cancer

被引:7
作者
Moghadam, Puria Azadi [1 ]
Bashashati, Ali [2 ,3 ]
Goldenberg, S. Larry [4 ]
机构
[1] Univ British Columbia, Dept Elect & Comp Engn, 2332 Main Mall, Vancouver, BC V6T 1Z4, Canada
[2] Univ British Columbia, Sch Biomed Engn, 2222 Hlth Sci Mall, Vancouver, BC V6T 1Z3, Canada
[3] Univ British Columbia, Dept Pathol & Lab Med, 2211 Wesbrook Mall, Vancouver, BC V6T 1Z7, Canada
[4] Univ British Columbia, Dept Urol Sci, 2775 Laurel St, Vancouver, BC V5Z 1M9, Canada
基金
加拿大健康研究院;
关键词
Digital pathology; Artificial intelligence; Machine learning; Deep learning; Pathomics; STANDARDIZATION; NORMALIZATION; PROBABILITY; DIAGNOSIS; SURVIVAL; BIOPSIES; MEN;
D O I
10.1016/j.ucl.2023.06.001
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
[No abstract available]
引用
收藏
页码:15 / 26
页数:12
相关论文
共 73 条
[1]   Hyperspectral imaging and quantitative analysis for prostate cancer detection [J].
Akbari, Hamed ;
Halig, Luma V. ;
Schuster, David M. ;
Osunkoya, Adeboye ;
Master, Viraj ;
Nieh, Peter T. ;
Chen, Georgia Z. ;
Fei, Baowei .
JOURNAL OF BIOMEDICAL OPTICS, 2012, 17 (07)
[2]   Regulating Artificial Intelligence for a Successful Pathology Future [J].
Allen, Timothy Craig .
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE, 2019, 143 (10) :1175-1179
[3]   Interobserver reproducibility of Gleason grading of prostatic carcinoma: General pathologists [J].
Allsbrook, WC ;
Mangold, KA ;
Johnson, MH ;
Lane, RB ;
Lane, CG ;
Epstein, JI .
HUMAN PATHOLOGY, 2001, 32 (01) :81-88
[4]   Automated Gleason grading of prostate cancer tissue microarrays via deep learning [J].
Arvaniti, Eirini ;
Fricker, Kim S. ;
Moret, Michael ;
Rupp, Niels ;
Hermanns, Thomas ;
Fankhauser, Christian ;
Wey, Norbert ;
Wild, Peter J. ;
Ruschoff, Jan H. ;
Claassen, Manfred .
SCIENTIFIC REPORTS, 2018, 8
[5]  
Bancroft J. D., 2008, THEORY PRACTICE HIST
[6]  
Borengasser M., 2007, Hyperspectral Remote Sensing
[7]   Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge [J].
Bulten, Wouter ;
Kartasalo, Kimmo ;
Chen, Po-Hsuan Cameron ;
Strom, Peter ;
Pinckaers, Hans ;
Nagpal, Kunal ;
Cai, Yuannan ;
Steiner, David F. ;
van Boven, Hester ;
Vink, Robert ;
Hulsbergen-van de Kaa, Christina ;
van der Laak, Jeroen ;
Amin, Mahul B. ;
Evans, Andrew J. ;
van der Kwast, Theodorus ;
Allan, Robert ;
Humphrey, Peter A. ;
Gronberg, Henrik ;
Samaratunga, Hemamali ;
Delahunt, Brett ;
Tsuzuki, Toyonori ;
Hakkinen, Tomi ;
Egevad, Lars ;
Demkin, Maggie ;
Dane, Sohier ;
Tan, Fraser ;
Valkonen, Masi ;
Corrado, Greg S. ;
Peng, Lily ;
Mermel, Craig H. ;
Ruusuvuori, Pekka ;
Litjens, Geert ;
Eklund, Martin .
NATURE MEDICINE, 2022, 28 (01) :154-+
[8]   Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study [J].
Bulten, Wouter ;
Pinckaers, Hans ;
van Boven, Hester ;
Vink, Robert ;
de Bel, Thomas ;
van Ginneken, Bram ;
van der Laak, Jeroen ;
Hulsbergen-van de Kaa, Christina ;
Litjens, Geert .
LANCET ONCOLOGY, 2020, 21 (02) :233-241
[9]   Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading [J].
Cabitza, Federico ;
Campagner, Andrea ;
Sconfienza, Luca Maria .
HEALTH INFORMATION SCIENCE AND SYSTEMS, 2021, 9 (01)
[10]   Unintended Consequences of Machine Learning in Medicine [J].
Cabitza, Federico ;
Rasoini, Raffaele ;
Gensini, Gian Franco .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (06) :517-518