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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Diagnostics
المؤلفون الرئيسيون: Gei Ki Tang, Chee Chin Lim, Faezahtul Arbaeyah Hussain, Qi Wei Oung, Aidy Irman Yajid, Sumayyah Mohammad Azmi, Yen Fook Chong
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2025-08-01
الموضوعات:
deep learning
diffuse large B-Cell lymphoma
graphic user interface
HoVerNet
nuclei classification
nuclei segmentation
الوصول للمادة أونلاين:https://www.mdpi.com/2075-4418/15/15/1958

الانترنت

https://www.mdpi.com/2075-4418/15/15/1958

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