End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction

Author:

Saha Anindo,Hosseinzadeh Matin,Huisman Henkjan

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference82 articles.

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2. A 2.5D deep learning-based approach for prostate cancer detection on T2-weighted magnetic resonance imaging;Alkadi,2019

3. Prostate cancer localization using multiparametric MRI based on semisupervised techniques with automated seed initialization;Artan;IEEE Trans. Inf. Technol. Biomed.,2012

4. Influence of prostate volume in the detection of prostate cancer;Basillote;Urology,2003

5. A systematic review and meta-analysis of the diagnostic accuracy of biparametric prostate MRI for prostate cancer in men at risk;Bass;Prostate Cancer Prostatic Dis.,2020

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