Optimizing Esophageal Cancer Diagnosis with Computer-Aided Detection by YOLO Models Combined with Hyperspectral Imaging

Optimizing Esophageal Cancer Diagnosis with Computer-Aided Detection by YOLO Models Combined with Hyperspectral Imaging

<b>Objective</b>: Esophageal cancer (EC) is difficult to visually identify, rendering early detection crucial to avert the advancement and decline of the patient’s health. <b>Methodology</b>: This work aimed to acquire spectral information from EC images via Spectrum-Aided Vi...

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Bibliographic Details
Main Authors: Wei-Chun Weng, Chien-Wei Huang, Chang-Chao Su, Arvind Mukundan, Riya Karmakar, Tsung-Hsien Chen, Amey Rajesh Avhad, Chu-Kuang Chou, Hsiang-Chen Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Diagnostics
Subjects:
esophageal cancer
hyperspectral imaging
SAVE
dysplasia
SCC YOLOv5
YOLOv8
Online Access:https://www.mdpi.com/2075-4418/15/13/1686
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