Enhancing Malignant Lymph Node Detection in Ultrasound Imaging: A Comparison Between the Artificial Intelligence Accuracy, Dice Similarity Coefficient and Intersection over Union

Enhancing Malignant Lymph Node Detection in Ultrasound Imaging: A Comparison Between the Artificial Intelligence Accuracy, Dice Similarity Coefficient and Intersection over Union

Background: The accurate identification of malignant lymph nodes in cervical ultrasound images is crucial for early diagnosis and treatment planning. Traditional evaluation metrics, such as accuracy and the Dice Similarity Coefficient (DSC), often fail to provide a realistic assessment of segmentati...

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Bibliographic Details
Main Authors: Iulian-Alexandru Taciuc, Mihai Dumitru, Andreea Marinescu, Crenguta Serboiu, Gabriela Musat, Mirela Gherghe, Adrian Costache, Daniela Vrinceanu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Journal of Mind and Medical Sciences
Subjects:
artificial intelligence
convolutional neural network
Dice similarity coefficient
intersection over union
lymph nodes
ultrasound
Online Access:https://www.mdpi.com/2392-7674/12/1/29
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