A smart cropping pipeline to improve prostate’s peripheral zone segmentation on MRI using Deep Learning

Dimitris Zaridis,Eugenia Mylona,Nikolaos Tachos,Kostas Marias,Manolis Tsiknakis,Dimitios Fotiadis

EAI Endorsed Transactions on Bioengineering and Bioinformatics（2022）

Cited 2|Views7

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Abstract

INTRODUCTION: Although accurate segmentation of the prostatic subregions is a crucial step for prostate cancer diagnosis, it remains a challenge. OBJECTIVES: To propose a deep learning (DL)-based cropping pipeline to improve the performance of DL networks for segmenting the prostate’s periphe

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Key words

peripheral zone segmentation,smart cropping pipeline,prostates,deep learning,mri

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