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 screening.
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
This study presents a two-stage deep learning framework for multi-class tissue classification and pixel-level histopathological region segmentation, accompanied by a systematic comparison of state-of-the-art architectures at each stage.
Hadi Hasan, Safaa Salman, Lama Sleem et al.· 0 citations
Oral squamous cell carcinoma (OSCC) represents a significant public health burden in South Asia, where a critical shortage of trained oral pathologists contributes to diagnostic delays and inconsistent histopathological grading. The study aimed to develop and evaluate an interpretable deep learning based framework for...
L. Rahul, Swagatika Pradhan· The Egyptian Journal of Otol...· 0 citations
BACKGROUND
Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with increasing incidence. Histopathological assessment remains the diagnostic gold standard, but is labor-intensive and affected by a growing shortage of specialized pathologists. Limited availability of annotated data poses a major challe...
Till Nicke, Fleming Wolf-Eli Michelsen, J. Schäfer et al.· Journal of Oral Pathology &...· 0 citations
Cutaneous melanoma (CM) is a highly aggressive form of skin cancer requiring accurate subtype classification for effective prognosis and treatment. To address the scarcity of high-quality datasets, we curated 82 Hematoxylin & Eosin (H&E)-stained whole slide images (WSIs) from 32 patients in the Clinical Proteomic Tum...
Seongho Yoon, Byungeun Shon, So-yeon Kim et al.· Scientific Data· 0 citations
Oral Squamous Cell Carcinoma (OSCC) is a significant global health challenge where early and accurate detection is critical for improving patient outcomes. Histopathological examination is a method for diagnosing OSCC, but the issue is the labour, time spent and the observer variability. In this research, deep learning...
K. Arun· Natural Resources for Human...· 0 citations
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