Selecting the Best Optimizers for Deep Learning Based Medical Image Segmentation

By Aliasghar Mortazia et al

Published on Feb. 5, 2023

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Table of Contents

1 Introduction
2 Background
3 Methods

Summary

This paper focuses on identifying the best optimizers for deep learning in the context of cardiac image segmentation. It explores the interplay between adaptive learning and accelerated schemes, proposing a new cyclic optimization method. The study compares various optimizers and architectures for medical image segmentation, demonstrating improved results with the proposed optimizer.