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

Background There is a low reproducibility of the Gleason scores that determine the grade group of prostate cancer given the intra‐ and interobserver variability among pathologists. This study aimed to develop an automated approach for estimating prostate cancer grade groups based on features obtaine...

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Veröffentlicht in:	The Prostate 2020-02, Vol.80 (3), p.291-302
Hauptverfasser:	Hossain, Alamgir, Arimura, Hidetaka, Kinoshita, Fumio, Ninomiya, Kenta, Watanabe, Sumiko, Imada, Kenjiro, Koyanagi, Ryoma, Oda, Yoshinao
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Automation Cancer surgery Color Gleason score grade group histological image features Humans Image processing International Society of Urological Pathology (ISUP) Male Middle Aged Neoplasm Grading Pathology piecewise step function Prostate cancer Prostatectomy Prostatic Neoplasms - diagnostic imaging Prostatic Neoplasms - pathology Prostatic Neoplasms - surgery Statistical analysis
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