The main aim of this work is to measure the accuracy for classifying dermal cell images
using Inception Resnet V2 CNN and Squeezenet CNN algorithm. The skin images the …

Skin cancer a serious disease. According to statistics, 9,500 people are suffering from this
disease each day. Melanoma is the deadliest type of cancer occurring in human beings …

Диссертация посвящена разработке метода мультимодального многомерного анализа
спектральных данных рамановского рассеяния и пространственных данных …

That chapter presents a method regarding diagnosis of pigmented skin lesions using
convolutional neural networks. The architecture is modeled over convolutional neural …

Skin diseases pose a significant global health concern, demanding precise and prompt
diagnosis. Current manual methods are labor-intensive, relying heavily on expert input and …

Skin cancer has been a growing health concern with a significant impact on survival rates.
Accurate diagnosis plays a crucial role in effective treatment. To address this, a DenseNet …

Melanoma is among the most severe types of skin cancer. By segmenting lesions, carrying
out fundamental processing, extracting dermo scope characteristics, and detecting diseases …

In the language of medical science, the most harmful variant of skin cancer that may develop
in human cells is distinguished as melanoma. The principal reasons behind developing …

Developing computational algorithms to model the biological vision system has challenged
researchers in the computer vision field for several decades. As a result, state-of-the-art …

Skin cancer is one of the most common cancers in the world. From skin cells melanocyte
cells develop melanoma cancer and this cancer is dangerous and more spread out quickly …