A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors

A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors

The potential for enhancing brain tumor segmentation with few-shot learning is enormous. While several deep learning networks (DNNs) show promising segmentation results, they all take a substantial amount of training data in order to yield appropriate results. Moreover, a prominent problem for most...

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Bibliographic Details
Main Authors:	Ananthakrishnan Balasundaram, Muthu Subash Kavitha, Yogarajah Pratheepan, Dhamale Akshat, Maddirala Venkata Kaushik
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Diagnostics
Subjects:	magnetic resonance imaging few-shot learning foreground prototypes
Online Access:	https://www.mdpi.com/2075-4418/13/7/1282

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