… Therefore, skin cancer screening is necessary. One of the best methods … skin cancer is
using deep learning (DL). In this research, the deep learning method convolution neural network (…

… segmentation of lesion region from normal skin. In this paper, a method for accurate extraction
of lesion region is proposed that is based on deep learning approaches. The input image, …

… images created from the ISIC Archive dataset [5] In this paper, a novel method for skin lesion
clas sification using deep learning … available skin lesion dermoscopic image dataset (the …

… of skin lesions and current literature. Various deep neural network architectures pre-trained …
dermoscopic and clinical images of skin lesions using transfer learning and model finetuning…

… deep learning methods to address three main tasks emerging in the area of skin lesion image
processing, ie, lesion … As directly resizing images may distort the shape of the skin lesion, …

… skin lesions using dermatoscopic images obtains a higher performance when compared to
using macroscopic images. … dermatoscopic image, macroscopic image and patient metadata. …

… DEEP LEARNING FOR SKIN LESION SEGMENTATION … -of-the-art deep learning approaches
for segmentation for skin lesions. Deep learning has gained popularity in medical imaging …

… vessel, and color illumination poses even more difficulty for segmenting skin lesion images.
Figure 1 illustrates some of the sample skin lesion images with various artefacts present in it. …

… present on the surface of the skin using dermoscopic images. In this work, an automated
skin lesion detection system has been developed which learns the representation of the image …

… skin lesions using deep learning–based methods. We propose a new decision system based
on multiple classifiers like neural networks and … image databases dedicated to skin lesion …