Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images

Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images

Semantic segmentation is an important imaging analysis method enabling the identification of tissue structures. Histological image segmentation is particularly challenging, having large structural information while providing only limited training data. Additionally, labeling these structures to gene...

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Bibliographic Details
Main Authors: Lukas Glänzer, Husam E. Masalkhi, Anjali A. Roeth, Thomas Schmitz-Rode, Ioana Slabu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Cancers
Subjects:
deep learning
semantic segmentation
U-Net
histological images
Online Access:https://www.mdpi.com/2072-6694/15/15/3773

Internet

https://www.mdpi.com/2072-6694/15/15/3773

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