Breaking Barriers in Thyroid Cytopathology: Harnessing Deep Learning for Accurate Diagnosis

Breaking Barriers in Thyroid Cytopathology: Harnessing Deep Learning for Accurate Diagnosis

Background: We address the application of artificial intelligence (AI) techniques in thyroid cytopathology, specifically for diagnosing papillary thyroid carcinoma (PTC), the most common type of thyroid cancer. Methods: Our research introduces deep learning frameworks that analyze cytological images...

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Bibliographic Details
Main Authors:	Seo Young Oh, Yong Moon Lee, Dong Joo Kang, Hyeong Ju Kwon, Sabyasachi Chakraborty, Jae Hyun Park
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Bioengineering
Subjects:	papillary thyroid cancer deep learning convolutional neural network multiple instance learning
Online Access:	https://www.mdpi.com/2306-5354/12/3/293
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