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Application of machine learning to ultrasound images to differentiate follicular neoplasms of the thyroid gland |
Ilah Shin, Young Jae Kim, Kyunghwa Han, Eunjung Lee, Hye Jung Kim, Jung Hee Shin, Hee Jung Moon, Ji Hyun Youk, Kwang Gi Kim, Jin Young Kwak |
Ultrasonography. 2020;39(3):257-265. Published online 2020 February 29 DOI: https://doi.org/10.14366/usg.19069 |
Application of machine learning to ultrasound images to differentiate follicular neoplasms of the thyroid gland Abstract #853227: Application of Machine Learning Algorithms to Distinguish Follicular Adenoma from Follicular Thyroid Carcinoma by Medical Us Images The value of histomorphometric nuclear parameters in the diagnosis of well differentiated follicular carcinomas and follicular adenomas of the thyroid gland Characteristics of thyroid follicular neoplasms Misclassification of cytologic diagnoses in patients with follicular lesions or follicular neoplasms of the thyroid gland Ultrasound characteristics of follicular and parafollicular thyroid neoplasms: diagnostic performance of artificial neural network Follicular Thyroid Carcinoma Misclassification of cytologic diagnoses in patients with follicular lesions or follicular neoplasms of the thyroid gland Stereology, flow cytometry, and immunohistochemistry of follicular neoplasms of the thyroid gland Follicular Thyroid Neoplasms |
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