State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues

State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues

Microscopic image segmentation (MIS) is a fundamental task in medical imaging and biological research, essential for precise analysis of cellular structures and tissues. Despite its importance, the segmentation process encounters significant challenges, including variability in imaging conditions, c...

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Bibliographic Details
Main Authors: Fatma Krikid, Hugo Rositi, Antoine Vacavant
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Imaging
Subjects:
deep learning
microscopic image
image segmentation
cell segmentation
nucleus segmentation
tissue analysis
Online Access:https://www.mdpi.com/2313-433X/10/12/311

Internet

https://www.mdpi.com/2313-433X/10/12/311

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