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

• Main Authors: Kambiz Kamyab-Hesari (Author), Vahidehsadat Azhari (Author), Ali Ahmadzade (Author), Fahimeh Asadi Amoli (Author), Anahita Najafi (Author), Alireza Hasanzadeh (Author), Alireza Beikmarzehei (Author)
• Format: Book
• Published: BMC, 2023-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...