An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases

An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases

<b>Background/Objectives</b>: Lung and cardiovascular diseases are leading causes of mortality worldwide, yet early detection remains challenging due to the subtle symptoms. Digital clubbing, characterized by the bulbous enlargement of the fingertips, serves as an early indicator of thes...

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Bibliographic Details
Main Authors: Wen-Shin Hsu, Guan-Tsen Liu, Su-Juan Chen, Si-Yu Wei, Wei-Hsun Wang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Diagnostics
Subjects:
lung diseases
cardiovascular diseases
clubbed fingers detection
YOLOv8
U-Net
cloud computing
Online Access:https://www.mdpi.com/2075-4418/14/19/2234

Internet

https://www.mdpi.com/2075-4418/14/19/2234

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