COMPUTER AIDED DIAGNOSTIC SYSTEM OF DETECTION AND RECOGNITION OF SKIN CANCER USING ARTIFICIAL INTELLIGENCE
The treatment of the cancer is very costly and demand high quality facilitation. With the advancement in the medical diagnoses we have proposed a technique for the classification of the two types of the skin cancer lesion melanoma and benign. This method involves contrasting, segmentation, classific
2025-06-28 16:30:53 - Adil Khan
COMPUTER AIDED DIAGNOSTIC SYSTEM OF DETECTION AND RECOGNITION OF SKIN CANCER USING ARTIFICIAL INTELLIGENCE
Project Area of Specialization Biomedical EngineeringProject SummaryThe treatment of the cancer is very costly and demand high quality facilitation. With the advancement in the medical diagnoses we have proposed a technique for the classification of the two types of the skin cancer lesion melanoma and benign. This method involves contrasting, segmentation, classification, selection and feature extraction. Our method will give the accuracy more than the existing methods. This method will help in accuracy for the other types of the skin cancer that will be an advancement in the medical diagnoses.
Project ObjectivesThe main objective of this project is to design a new method for the classification of the two types of the skin cancer. The manual method used by the doctors is very time consuming and requires very high qualification for the accuracy.
We will contingent a method that will be more accurate than the existing methods. This will be also very cost effective because we will not be needing any external equipment rather than the high performance Pc’s.
Project Implementation Methodsaliency techniques
improve segmentation
feature extraction
classification
selection
Benefits of the ProjectThe application of this project is to make a system that will result in ease the diagnosis of the skin cancer with:
- High accuracy
- Time efficient
- Cost effective.
This will be a advancement in the medical diagnosis field.
Technical Details of Final DeliverableThe final form of the project will be the fully automated computer aided diagostics system for classification of skin cancer using artificial intelligence
Final Deliverable of the Project HW/SW integrated systemCore Industry MedicalOther Industries Health Core Technology Artificial Intelligence(AI)Other Technologies NeuroTech, Wearables and Implantables, Big DataSustainable Development Goals Good Health and Well-Being for People, Decent Work and Economic Growth, Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 77757 | |||
| 3Gen DermLite DL100 Dermatology Dermascope | Equipment | 1 | 39507 | 39507 |
| MSI Geforce GTX 1660 TI Ventus XS 6G OC Video Graphics Card 6GB | Equipment | 1 | 28500 | 28500 |
| printing | Miscellaneous | 25 | 150 | 3750 |
| delivery charges | Miscellaneous | 3 | 2000 | 6000 |