A comprehensive dataset containing clinical, radiological, and histopathological images related to oral cavity, tongue, and jaw pathologies, focusing on oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMDs).
The Dural-Based Lesion Research Dataset is a nationwide initiative integrating clinical, imaging, and pathological data on dural-based lesions such as meningiomas, inflammatory lesions, and neoplasms. Led by AIIMS, New Delhi, in collaboration with major medical institutions like NIMHANS, PGIMER, and SGPGI, the project aims to develop standardized datasets for comparative analysis of treatment modalities, including Gamma Knife Radiosurgery (GKRS) and microsurgery. The dataset includes 500 dural-based lesion cases from hub centers and 100 each from spoke centers, along with 5000-6000 MRI sequences, histological images, and annotated radiological data. A central focus is on AI-based diagnostic tool development, enhancing predictive accuracy and uniformity in medical imaging analysis. Ethical considerations are strictly followed, with approval from institutional ethics committees ensuring data privacy and security.
NA
© 2025 - Copyright AIKosha. All rights reserved. This portal is developed by National e-Governance Division for IndiaAI mission.