Exploring Data Preparation Strategies: A Comparative Analysis of Vision Transformer and ConvNext Architectures in Breast Cancer Histopathology Classification

• Published in: International journal of applied mathematics and computer science Vol. 35; no. 2; pp. 329 - 339
• Main Authors: Kaczmarek, Mikołaj, Kowal, Marek, Korbicz, Józef
• Format: Journal Article
• Language: English
• Published: Zielona Góra Sciendo 01.06.2025; De Gruyter Poland
• Subjects: Accuracy; BreakHis; Breast cancer; Comparative analysis; ConvNeXT; data preparation; Design optimization; Histopathology; Image classification; Medical imaging; Performance evaluation; Performance measurement; Preprocessing; Public health; vision transformer

Breast cancer remains a major global health challenge and the accurate classification of histopathological samples into benign and malignant categories is critical for effective diagnosis and treatment planning. This study offers a comparative analysis of two state-of-the-art deep learning architect...