Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization

Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain normalization

With the advent of digital pathology and microscopic systems that can scan and save whole slide histological images automatically, there is a growing trend to use computerized methods to analyze acquired images. Among different histopathological image analysis tasks, nuclei instance segmentation pla...

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Bibliographic Details
Main Authors: Amirreza Mahbod, Georg Dorffner, Isabella Ellinger, Ramona Woitek, Sepideh Hatamikia
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Digital pathology
Normalization
Nuclei segmentation
Machine learning
Deep learning
Medical image analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023005172

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http://www.sciencedirect.com/science/article/pii/S2001037023005172

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