Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application

Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application

Background This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules. Methods This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyr...

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Main Authors: Jinyoung Kim, Min-Hee Kim, Dong-Jun Lim, Hankyeol Lee, Jae Jun Lee, Hyuk-Sang Kwon, Mee Kyoung Kim, Ki-Ho Song, Tae-Jung Kim, So Lyung Jung, Yong Oh Lee, Ki-Hyun Baek
Format: Article
Language:English
Published: Korean Endocrine Society 2025-04-01
Series:Endocrinology and Metabolism
Subjects:
artificial intelligence
deep learning
thyroid nodule
thyroid neoplasms
ultrasonography
Online Access:http://e-enm.org/upload/pdf/enm-2024-2058.pdf
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