Skin Disease Detection
| dc.contributor.author | Saliha Jamil, Tajallah Adil and Muhammad Arslan Gondal | |
| dc.date.accessioned | 2025-09-24T11:29:34Z | |
| dc.date.available | 2025-09-24T11:29:34Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Translational research created the Skin Disease Detection project which developed a smart artificial intelligent system for automatic skin cancer and melanoma illness diagnosis. Advanced technology delivers better accessible dermatological diagnosis to users through a system that combines precision with efficiency. Through its user-friendly intelligent chatbot interface patients can efficiently submit information and upload photos related to their skin issues for smooth interaction. Through machine learning the submitted photos enable precise skin cancer diagnosis thus reducing misdiagnosis errors and facilitating rapid critical illness detection. | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/6846 | |
| dc.language.iso | en | |
| dc.publisher | UMT, Lahore | |
| dc.title | Skin Disease Detection | |
| dc.type | Thesis |