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Machine learning for classification of cutaneous sebaceous neoplasms: implementing decision tree model using cytological and architectural features

Abstract Background This observational study aims to describe and compare histopathological, architectural, and nuclear characteristics of sebaceous lesions and utilized these characteristics to develop a predictive classification approach using machine learning algorithms. Methods This cross-sectio...

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Principais autores: Kambiz Kamyab-Hesari, Vahidehsadat Azhari, Ali Ahmadzade, Fahimeh Asadi Amoli, Anahita Najafi, Alireza Hasanzadeh, Alireza Beikmarzehei
פורמט: Artigo
שפה:Inglês
יצא לאור: BMC 2023-08-01
סדרה:Diagnostic Pathology
נושאים:
Sebaceous hyperplasia
Sebaceoma
Sebaceous adenoma
Sebaceous carcinoma
Sebaceous neoplasms
גישה מקוונת:https://doi.org/10.1186/s13000-023-01378-w
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