Mixed-Sized Biomedical Image Segmentation Based on U-Net Architectures

Mixed-Sized Biomedical Image Segmentation Based on U-Net Architectures

Convolutional neural networks (CNNs) are becoming increasingly popular in medical Image Segmentation. Among them, U-Net is a widely used model that can lead to cutting-edge results for 2D biomedical Image Segmentation. However, U-Net performance can be influenced by many factors, such as the size of...

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Bibliographic Details
Main Authors: Priscilla Benedetti, Mauro Femminella, Gianluca Reali
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
Image Segmentation
convolutional neural networks
biomedical image analysis
Online Access:https://www.mdpi.com/2076-3417/13/1/329

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