Skin Cancer Lesion Analysis of Carcinoma and Melanoma Using Deep Learning Model | IEEE Conference Publication | IEEE Xplore

Skin Cancer Lesion Analysis of Carcinoma and Melanoma Using Deep Learning Model


Abstract:

Skin cancer is a deadly disease. Melanoma is a fatal type of cancer. It is treatable if diagnosed earlier. Benign cancers may be treated, however malignant tumors cannot....Show More

Abstract:

Skin cancer is a deadly disease. Melanoma is a fatal type of cancer. It is treatable if diagnosed earlier. Benign cancers may be treated, however malignant tumors cannot. Early stages of both benign and malignant cancer can show them. Dermoscopic analysis and clinical screening are two procedures that can help detect skin cancer early. It is a common task to identify skin lesions automatically. Skin cancer symptoms include small blood vessels, thicker regions, ulceration, and bleeding. A skin magnifier and polarized light source are used to visualize the tumor. Weighting and data augmentation can be used to include it. In this R-CNN classifier, the EfficientNet model was used to assess the accuracy of the skin dataset.
Date of Conference: 03-05 August 2023
Date Added to IEEE Xplore: 28 August 2023
ISBN Information:
Conference Location: Coimbatore, India

I. Introduction

Skin cancer can be identified by abnormal cell proliferation on the skin's surface, which most typically develops in exposed skin parts of the body. On parts of your skin that are rarely exposed to sunlight, a common type of cancer can develop. The three types of skin cancer are basal cell carcinoma, squamous cell carcinoma, and melanoma. By minimizing ultraviolet (UV) exposure, you can lower your risk of getting skin cancer. If you look for unexpected changes in your skin, you can spot skin cancer early on. Early diagnosis of skin cancer improves the chances of a successful course of treatment. the physical parts exposed to sunlight Lips, face, ears, neck, chest, and arms are the body parts most frequently impacted by skin cancer.

References

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