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Salma Bahaa

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Sep 2026

A Histopathological Image Dataset for Oral Squamous Cell Carcinoma and Normal Tissue Analysis

Oral squamous cell carcinoma accounts for nearly 90% of all oral malignancies worldwide. While early detection is critical to improve the disappointed 35%–45% advanced-stage survival rate, manual histopathological evaluation remains a laborious process prone to intra-observer variability and physical strain. Artificial...

Salma Bahaa · Machine Learning for Biomedi... · 0 citations

Machine Learning for Biomedical Imaging A Histopathological Image Dataset for Oral Squamous Cell Carcinoma and Normal Tissue Analysis

A curated, expert-labeled, AI-ready histopathological dataset consisting of 1,714 images obtained from 115 patients, explicitly designed to differentiate between OSCC and completely healthy oral tissue, which provides a robust framework for developing scalable deep learning tools optimized for early oral cancer screeni...

Salma Bahaa · 0 citations