M-Net: An encoder-decoder architecture for medical image analysis using ensemble learning

Author:

S SreelakshmiORCID,G Malu,Sherly Elizabeth,Mathew Robert

Publisher

Elsevier BV

Subject

General Engineering

Reference32 articles.

1. SIDA-GAN: a lightweight generative adversarial network for single image depth approximation;Anupama;Results Eng.,2022

2. SegNet: a deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. Segmentation of vasculature from fluorescently labeled endothelial cells in multi-photon microscopy images;Bates;IEEE Trans. Med. Imaging,2017

4. A comprehensive machine-learning model applied to magnetic resonance imaging (MRI) to predict Alzheimer's disease (AD) in older subjects;Battineni;J. Clin. Med.,2020

5. A stochastic approach for automated brain MRI segmentation;Chatterjee;IET Image Process.,2021

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