Category: Skin Cancer

  • Melanoma Skin Cancer Detection Using Image Processing

    Abstract Among the three basic types of skin cancer, viz, Basal Cell Carcinoma (BCC), Squamous Cell Carcinoma (SCC) and Melanoma, Melanoma is the most dangerous in which survival rate is very low. The proposed skin cancer detection technology is broadly divided into four basic cmponents, viz., image preprocessing which includes hair removal, de-noise, sharpening, resize…

  • Skin Cancer And Related Genetics

    Why do we use sunscreen? To save ourselves from harmful sun rays, of course. Did you know that these harmful rays, aka UV rays of the sun, are the major reason of causing skin cancer? However, despite the UV rays, are there any other factors that can lead to skin cancer? Of course, there are.…

  • Effects Of Treatments For Skin Cancer

    Cancer is a type of tumour that forms when the protooncogene cells in the human body are converted to an oncogene. The oncogene cells replicate rapidly giving rise to a malignant tumour. Due to their speedy replication action, the infected cell and tissue materials spread into the other parts of the body if undetected. Cancer…

  • Dermatologist-Level Classification Of Skin Cancer With Deep Neural Networks

    Introduction The research paper ‘Dermatologist-level classification of skin cancer with deep neural networks proposes that mobile devices combined with artificial intelligence have the potential of providing low-cost universal access to vital diagnostic care. This means that there is a rise in technology to enable medical diagnosis in an effective and inexpensive way. To support their…

  • What Is Skin Cancer?

    Research has shown that one of the main biological factors for an individual for the development of skin cancer is that of their heritage, being of European decent. The level of pigmentation in a person’s skin has a direct affect on the possibility of being diagnosed with skin cancer . Many Australians still hold the…

  • Convolution Neural Networks for Predicting Skin Lesions of Melanoma by Segmentation

    Abstract Skin lesions are significant in determining dermatological medical conditions globally. Early diagnosis of malignant melanoma by dermoscopy imaging considerably will increase the survival rate. Throughout this paper, we tend to present deep learning-based approaches to resolve 2 issues in skin lesion analysis employing a dermoscopic image containing the tumor. Estimation of these biomarkers are…

  • Skin Cancer: Convolutional Neural Network Based Skin Lesion

    Analysis towards Melanoma Abstract Melanoma is only harmful in human epidemic diseases and the level of these diseases is increasing continuously. Computers are not more intelligent than humans, but it is easy to find some information easily, which may not be easily apparent to the human eye. Such as: skin color variations or taxa variations.…

  • Extent Of Applying Artificial Intelligence In The Diagnosis Of Skin Cancer

    Before delving into the content of this essay, it is crucial to understand why this argument is valid. Cancer is a fatal disease and the chances of survival, especially for skin cancer, vary greatly depending on how early and accurately it is diagnosed (The Skin Cancer Foundation, 2019). Recognising cancerous cells from benign ones requires…