Novel dual gland GAN architecture improves human protein localization classification using salivary and pituitary gland inspired loss functions

Novel dual gland GAN architecture improves human protein localization classification using salivary and pituitary gland inspired loss functions

Abstract Cellular classification is essential for understanding biological processes and disease mechanisms. This paper introduces a novel approach that employs two complementary loss functions within a Generative Adversarial Network (GAN) framework for processing images from the Human Protein Atlas...

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Bibliographic Details
Main Authors: Hanaa Salem Marie, Moatasem M. Draz, Waleed Abd Elkhalik, Mostafa Elbaz
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Cellular classification
Human protein atlas
Bioimage informatics
Protein localization
Cell phenotyping
Online Access:https://doi.org/10.1038/s41598-025-11254-w
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https://doi.org/10.1038/s41598-025-11254-w

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