Enhanced HoVerNet Optimization for Precise Nuclei Segmentation in Diffuse Large B-Cell Lymphoma

Enhanced HoVerNet Optimization for Precise Nuclei Segmentation in Diffuse Large B-Cell Lymphoma

<b>Background/Objectives</b>: Diffuse Large B-Cell Lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma and demands precise segmentation and classification of nuclei for effective diagnosis and disease severity assessment. This study aims to evaluate the performance of HoV...

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Bibliographic Details
Main Authors: Gei Ki Tang, Chee Chin Lim, Faezahtul Arbaeyah Hussain, Qi Wei Oung, Aidy Irman Yajid, Sumayyah Mohammad Azmi, Yen Fook Chong
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Diagnostics
Subjects:
deep learning
diffuse large B-Cell lymphoma
graphic user interface
HoVerNet
nuclei classification
nuclei segmentation
Online Access:https://www.mdpi.com/2075-4418/15/15/1958
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https://www.mdpi.com/2075-4418/15/15/1958

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