Skin Cancer is an uncontrollable growth of
abnormal cells in the epidermis which is the outer layer
of the skin. It is caused when the DNA is altered and it
can't properly control skin cell growth. Skin cancer is also
one of the most hazardous forms of cancer.
There are 4 main types of skin cancer named as Basal cell carcinoma, Basal cell carcinoma, Merkel cell cancer, and Melanoma. Detection of Skin cancer in the early stage will be helpful to cure it. The normal dermatologist way to diagnose skin cancer is visual, with the dermoscopic assessment of the lesion followed by biopsy and histopathologic evaluation which is very long which leads the patient to critical stages of cancer. Currently, many technologies have been developed to increase the accuracy of detecting skin cancer as early as possible.
Computer Vision can play a vital role in medical Image diagnosis which has been proved by the existing systems. In this article, we are analysing all the seven types of skin cancers, they are Melanoma (MEL), Melanomic Neves (NV), Basal Cell Carcinoma (BCC), Actinic Keratosis (AKIEC), Benign Keratosis (BKL),
There are 4 main types of skin cancer named as Basal cell carcinoma, Basal cell carcinoma, Merkel cell cancer, and Melanoma. Detection of Skin cancer in the early stage will be helpful to cure it. The normal dermatologist way to diagnose skin cancer is visual, with the dermoscopic assessment of the lesion followed by biopsy and histopathologic evaluation which is very long which leads the patient to critical stages of cancer. Currently, many technologies have been developed to increase the accuracy of detecting skin cancer as early as possible.
Computer Vision can play a vital role in medical Image diagnosis which has been proved by the existing systems. In this article, we are analysing all the seven types of skin cancers, they are Melanoma (MEL), Melanomic Neves (NV), Basal Cell Carcinoma (BCC), Actinic Keratosis (AKIEC), Benign Keratosis (BKL),
Dermatofibroma (DF), Vascular Lesion (VASC) to get the
better understanding of how to build the CNN
(Convolutional Neural Network) model which will
perform image processing on various image dataset of
skin cancer to analyze and detect its type.
Upon understanding Dr. Sharmila Gaikwad’s "Study on Artificial Intelligence in Healthcare." and getting motivated by it we understood the importance to curb this global incidence of skin cancer from reaching massive heights. There is an urgent need of reliable and accurate systems to not only help the expert dermatologists in the field but also individuals to detect skin lesion types as early as possible.
Skin Analyzer will help dermatologists for early detection of cancer in skin and give them more time to perfect their future steps in curing the patients, because time plays an extremely important role in providing cure for this deadly disease.
Upon understanding Dr. Sharmila Gaikwad’s "Study on Artificial Intelligence in Healthcare." and getting motivated by it we understood the importance to curb this global incidence of skin cancer from reaching massive heights. There is an urgent need of reliable and accurate systems to not only help the expert dermatologists in the field but also individuals to detect skin lesion types as early as possible.
Skin Analyzer will help dermatologists for early detection of cancer in skin and give them more time to perfect their future steps in curing the patients, because time plays an extremely important role in providing cure for this deadly disease.