Application of data science methods, including machine learning, in the classification of focal lesions in the thyroid gland

The study demonstrates the usefulness of data science methods in predicting the malignant nature of focal lesions in the thyroid gland. It proves that classification decisions made by the studied models are based on specific ultrasonographic features associated with increased or reduced risk of malignancy.

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Publication Details

Journal
Journal of Ultrasonography
Published
2025-12-31
DOI
https://doi.org/10.15557/jou.2025.0036
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of data science methods, including machine learning, in the classification of focal lesions in the thyroid gland

Zbigniew Adamczewski, Małgorzata Krzywicka, Agnieszka Wosiak, Paweł Mariusz Gadzicki et al.
Journal of Ultrasonography
Thyroid Cancer Diagnosis and Treatment
article

Application of data science methods, including machine learning, in the classification of focal lesions in the thyroid gland

Zbigniew Adamczewski, Małgorzata Krzywicka, Agnieszka Wosiak, Paweł Mariusz Gadzicki, Bartosz Migda, Ewelina Szczepanek-Parulska, Katarzyna Dobruch-Sobczak
article en

Abstract

The study demonstrates the usefulness of data science methods in predicting the malignant nature of focal lesions in the thyroid gland. It proves that classification decisions made by the studied models are based on specific ultrasonographic features associated with increased or reduced risk of malignancy.

Journal of UltrasonographyVol. 25(103)
Poznan University of Medical Sciences (PL), Lodz University of Technology (PL), Medical University of Warsaw (PL), National Institute of Oncology (HU), Medical University of Lodz (PL)
Openalex Percentile: Top 27%
Thyroid Cancer Diagnosis and Treatment
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