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                                       Details for article 67 of 67 found articles
 
 
  V-NET-VGG16: Hybrid deep learning architecture for optimal segmentation and classification of multi-differentiated liver tumors
 
 
Title: V-NET-VGG16: Hybrid deep learning architecture for optimal segmentation and classification of multi-differentiated liver tumors
Author: Ben Slama, Amine
Sahli, Hanene
Amri, Yessine
Labidi, Salam
Appeared in: Intelligence-based medicine
Paging: Volume 11 () nr. C pages p.
Year: 2025
Contents:
Publisher: The Authors
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 67 of 67 found articles
 
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