AIMC Journal:
Journal of oral biology and craniofacial research

Showing 1 to 4 of 4 articles

Comprehensive benchmarking of deep learning architectures for multiclass histopathological classification of oral epithelial lesions.

Journal of oral biology and craniofacial research
BACKGROUND: Accurate histopathological differentiation of normal oral epithelium, oral epithelial dysplasia (OED) and oral squamous cell carcinoma (OSCC) is essential but remains time consuming and prone to inter-observer variability. Deep learning p...

Automated detection of basement-membrane breaches in oral squamous cell carcinoma : A comparative study of convolutional neural network architectures.

Journal of oral biology and craniofacial research
BACKGROUND: Oral squamous cell carcinoma (OSCC) remains a leading cause of cancer-related morbidity and mortality worldwide. The ability to detect early histopathological evidence of invasion-particularly basement membrane (BM) discontinuity at the e...

Transformer-based classification and interpretability of NR3C1 expression patterns in OSCC: Metabolic adaptation insights.

Journal of oral biology and craniofacial research
INTRODUCTION: Oral squamous cell carcinoma (OSCC) involves several oncogenic proteins for survival. Protein sequence classification is a fundamental challenge in computational biology, complicated by the complex, non-linear relationships within seque...

A hybrid MMBERT framework for classifying periodontal bone loss: Integrating visual and textual information.

Journal of oral biology and craniofacial research
INTRODUCTION: Periodontitis, a chronic inflammatory disease, causes bone loss and tooth instability. Early diagnosis, aided by clinical and radiographic assessments, is crucial. mmBERT, a multimodal deep learning approach, integrates image and text d...