Semantic and object segmentation on photographic images of oral cancer

[Nature Portfolio] The official code for "A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentation".

Repository for oral cancer photographic image classification

Deep learning workflow, that exploiting different models is able to classify and explain the classification

Model for early detection of Oral cancer via Histopathological Image datasets

This repository accompanies the article entitled "Automated Classification of Oral Cancer Lesions: Vision Transformer vs Radiomics."

Code for classification of cancerous vs. benign oral lesions using machine learning

Oral Cancer diagnosis

Tool for Evaluating Deep Learning Models in Histopathological Image Analysis - A MATLAB-based User Interface [Tentative Version]

This repository can be used to reproduce and/or update the tables and figures of our publication titled "Patterns of Lymph Node Involvement for Oral Cavity Squamous Cell Carcinoma".