Automatic Skin Pathology Prognoser - Cutis Care
- Resource Type
- Conference
- Authors
- S, Snekha.; M, Sanjana.; S, Sanjiv.; R, Kishore Harshan Kumar.; Ramya, J.
- Source
- 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2023 International Conference on. :1-7 Dec, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Pathology
Sociology
Medical services
Transforms
Predictive models
Prediction algorithms
Skin
Skin disease
machine learning
convolutional neural network
data augmentation
recommendation system
cosine similarity
tf-idf
- Language
It takes a Physician, a family doctor, a specialist and a chief doctor to diagnose a skin disease and make a critical decision about the treatment process. It is important for a Doctor to spend enough time on a patient’s diagnosis as it decides the course of treatment. The prevalence of skin diseases in the general population in different geographic regions of India varies from 7.9 to 60 percent. This ratio is increasing as the skin diseases are not considered seriously and handled very recklessly by people People are lazy to go visit a doctor until and unless it becomes something serious Diseases like Psoriasis first start like a small rash and can be treated and cured if found in a early stage whereas delaying makes it deadly. The aim is to automatically diagnose a skin disease just by scanning the affected part.