Celiac disease diagnosis from endoscopic images based on multi-scale adaptive hybrid architecture model
Conclusion:
This study introduces a deep learning network equipped with both global feature response and local feature extraction capabilities. This innovative architecture holds significant promise for the accurate diagnosis of celiac disease by leveraging endoscopic images captured from diverse anatomical sites.
.PMID:38306971 | DOI:10.1088/1361-6560/ad25c1
Source: Physics in Medicine and Biology - Category: Physics Authors: Yilei Wang Tian Shi Feng Gao 伟 生 田 Long Yu Source Type: research
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