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Skin disease diagnosis using image analysis and natural language processing

Domaine:

healthcare

Type de record:

paper
Créateur:
ChiNyi
Éditeur:
arXiv
Hôte:avatar
In Zambia, there is a serious shortage of medical staff where each practitioner attends to about 17000 patients in a given district while still, other patients travel over 10 km to access the basic medical services. In this research, we implement a deep learning model that can perform the clinical diagnosis process. The study will prove whether image analysis is capable of performing clinical diagnosis. It will also enable us to understand if we can use image analysis to lessen the workload on medical practitioners by delegating some tasks to an AI. The success of this study has the potential to increase the accessibility of medical services to Zambians, which is one of the national goals of Vision 2030.

Visit

doi.orgarxiv.org

Tasks

computer visionimage classification

Tags

Image and Video Processing (eess.IV)Artificial Intelligence (cs.AI)Computer Vision and Pattern Recognition (cs.CV)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciencesFOS: Computer and information sciences

Licenses

Creative Commons Attribution Non Commercial Share Alike 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

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