Skin cancer is the most common type of cancer that affects humans and is usually
diagnosed by initial clinical screening, which is followed by dermoscopic analysis …

Automatic classification of color images of skin helps clinicians and dermatologists in
examining and investigating skin melanoma. In this paper, a new deep convolutional neural …

In recent years, there has been a significant improvement in the accuracy of the
classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent …

This chapter assesses the existing methods for skin lesion classification, especially deep
learning-based methods. It proposes two models using the theory of transfer learning for the …

This chapter discusses different software programs that are available for deep neural
network learning. Training a deep learning model with a limited number of training images is …

To detect steatosis disease using region-based segmentation of growcut algorithm and
comparing with the Region Growing Algorithm. Materials and Methods includes steatosis …

Object detection in real-time video sequence is still a big challenge as the images are
captured with different modalities such as occlusion, clustering, scale, size, color …

In this paper a hybrid technique for the segmentation of image has been proposed and it is
named as MSNCut technique. Here image segmentation is the process of dividing the given …

In modern Security and Surveillance technologies, the significance of human detection and
segmentation becomes having much importance. In addition to security systems …

Computer vision based human detection systems are gaining much significance in modern
security and surveillance systems. Recently, advanced camera sensors like Microsoft Kinect …