Online ISSN: 2515-8260

Keywords : skin cancer

Convolutional Neural Network Architecture for Skin Cancer Diagnosis

Michael Cabanillas- Carbonell; Randy Verdecia- Peña

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 2819-2833

In recent years, Malignant Melanoma Cancer has caused an increased exponential in human diseases, for this reason, it is essential to detect it from its early stages. Deep Learning is one of the most applied technologies for the analysis of images oriented to medicine, facilitating the diagnosis of diseases in patients, allowing them to make accurate decisions about their health. In this paper, we propose a convolutional neural network architecture derived from the evaluation of different convolutional neural networks that meet the objective of obtaining more pressure on the information of the acquired image. The model for the problem is based on a binary distribution, 1 in case of malignant and 0 for benign, so that melanoma can be detected early and is very useful, for this we used 2 different datasets with a total of 2650 images for training the architecture. Finally, a comparison of the results obtained in other research has been made, where the metrics of our project are considerably improved by having 3 layers. This new architecture is a proposed solution for the optimization of training and validation of images.


Yazhlini P; Dr Jayalakshmi Somasundaram

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 350-358

AIM: This study aims to find out about life-saving advances in skin cancer treatment.
INTRODUCTION: Skin malignant diseases are those that emerge from the skin. They are due to the development of abnormal cells that can invade and spread to different parts of the body there are three types of skin cancer- basal cell carcinoma, squamous cell carcinoma and melanomas. Hereditary factors strongly influence the risk factor of skin disease and malignant growth. Basal cell malignant growth develops gradually and can harm the tissue around it, however, it does not spread to distant areas or result in death. Squamous cell skin disease is bound to spread. Melanomas are the most aggressive. Although hereditary variables may have the least impact on skin management growth, most skin cancers are caused due to exposure to UV radiation.
MATERIALS AND METHODS: Review of various scientific literature was done in preparation of the manuscript. Several databases were searched for relevant articles from pub med and Google scholar. Databases of individual journals were searched for keywords such as skin cancer, sunlight on skin cancer, treatment, advances, prevention etc. The exclusion criteria were case reports, review and studies in other languages.
CONCLUSION: From the review, we can know about many recent advances for the cure of cancer. Personalised vaccines, cell therapy, gene editing and micro-treatment are newer technologies for treating cancer. In future cancer can also become a curable disease.