Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation

Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation

U-Net is the most cited and widely-used deep learning model for biomedical image segmentation. In this paper, we propose a new enhanced version of a ubiquitous U-Net architecture, which improves upon the original one in terms of generalization capabilities, while addressing several immanent shortcom...

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Bibliographic Details
Main Authors: Vilen Jumutc, Dmitrijs Bļizņuks, Alexey Lihachev
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
U-Net
skip-connections
neural network
encoder–decoder
Layer Normalization
Online Access:https://www.mdpi.com/1424-8220/22/3/990

Internet

https://www.mdpi.com/1424-8220/22/3/990

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