Automated approach for estimation of grade groups for prostate cancer based on histological image feature analysis

Author:

Hossain Alamgir1ORCID,Arimura Hidetaka2,Kinoshita Fumio3,Ninomiya Kenta1,Watanabe Sumiko2,Imada Kenjiro4,Koyanagi Ryoma5,Oda Yoshinao3

Affiliation:

1. Division of Medical Quantum Science, Department of Health SciencesKyushu University Fukuoka Japan

2. Division of Medical Quantum Science, Department of Health Sciences, Faculty of Medical SciencesKyushu University Fukuoka Japan

3. Department of Anatomic Pathology, Graduate School of Medical SciencesKyushu University Fukuoka Japan

4. Department of Urology, Graduate School of Medical SciencesKyushu University Fukuoka Japan

5. Department of Radiology, Saga University HospitalSaga University Saga Japan

Publisher

Wiley

Subject

Urology,Oncology

Reference37 articles.

1. Global Trends and Prostate Cancer: A Review of Incidence, Detection, and Mortality as Influenced by Race, Ethnicity, and Geographic Location

2. JapanVS.Center for Cancer Control and Information Services National Cancer Center Japan Website.2019.

3. Assessment of Aggressiveness of Prostate Cancer: Correlation of Apparent Diffusion Coefficient With Histologic Grade After Radical Prostatectomy

4. The 2014 International Society of Urological Pathology (ISUP) consensus conference on gleason grading of prostatic carcinoma;Epstein JI;Am J Surg Pathol,2016

5. Inter/intraobserver reproducibility of Gleason scoring in prostate adenocarcinoma in Iranian pathologists;Abdollahi A;Urol J,2012

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