Since the last decade, Cancer has been a severe disease that people are afraid of. Of all the types of Cancer, Skin cancer has been the most serious among the types of cancer, because our human body has the largest organ that is skin. The American Academy of Dermatology Association states that, in t
Skin Cancer Classification
Since the last decade, Cancer has been a severe disease that people are afraid of. Of all the types of Cancer, Skin cancer has been the most serious among the types of cancer, because our human body has the largest organ that is skin. The American Academy of Dermatology Association states that, in the U.S., more than 9,500 people are diagnosed with skin cancer every day. More than two people die of the disease every hour. More than 5.4 million cases of nonmelanoma skin cancer were treated in over 3.3 million people in the U.S. Skin Cancer being such severe disease requires rapid identification of disease. If not so, then it would be considered just acne or pimple. That’s why using latest trends of Artificial Intelligence e.g., Deep Learning, Image Processing etc. would provide rapid classification result of Skin Cancer unlike traditional methods and by using those trends the overall cost of tests for identification of Skin Cancer can be reduced. This project is about providing a model that is able to detect skin cancer. For the training purpose of this project, deep learning and image processing latest techniques would be used so as to increase the precision and accuracy of model which is the main challenge. I would be applying different algorithms of artificial intelligence through which this trained model will be able to provide specific accuracy of the tested images. Subsequently, this project will be deployed as a web based application that would be provide accessibility to the user and ultimately rapid results within the reach of few seconds. This project would open the doors of the latest computing technologies to be used for the field of medical sciences for further research purposes.
The project implementation includes:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| ZOTAC GeForce RTX 2080 AMP 8GB | Equipment | 1 | 70000 | 70000 |
| Domain Expense for Website | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
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