Deep Learning Algorithm for Tumor Segmentation and Discrimination of Clinically Significant Cancer in Patients with Prostate Cancer.

Journal: Current oncology (Toronto, Ont.)

Published Date: Aug 1, 2023

Abstract

BACKGROUND: We investigated the feasibility of a deep learning algorithm (DLA) based on apparent diffusion coefficient (ADC) maps for the segmentation and discrimination of clinically significant cancer (CSC, Gleason score ≥ 7) from non-CSC in patients with prostate cancer (PCa).

Authors

Sujin Hong

Department of Radiology, Inje University, College of Medicine, Haeundae Paik Hospital, Busan 48108, Republic of Korea.
Seung Ho Kim

Department of Radiology, Inje University, College of Medicine, Haeundae Paik Hospital, Busan 48108, Republic of Korea.
Byeongcheol Yoo

Deepnoid Co., Ltd., Seoul 08376, Republic of Korea.
Joo Yeon Kim

Department of Pathology, Inje University, College of Medicine, Haeundae Paik Hospital, Busan 48108, Republic of Korea.

Keywords

Algorithms Deep Learning Humans Male Patients Prostatic Neoplasms

External Resources

View on PubMed Access via DOI PubMed (37623009)

Deep Learning Algorithm for Tumor Segmentation and Discrimination of Clinically Significant Cancer in Patients with Prostate Cancer.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals