Melanoma is one of the deadliest form of skin cancer widely which affects human beings.
Due to its growing occurrence rates, it is essential to develop an assisting methodology to …

The significance of pattern recognition techniques is widely enhanced in image processing
and medical applications. Thus, lesion segmentation method is an essential technique of …

Skin cancer affects people of all skin tones, including those with darker complexions.
Melanomas are known as malignant tumors of skin cancer, resulting in an adverse …

This paper proposes a computer assisted diagnostic system for the detection of melanoma
in dermoscopy images. Clinical findings have concluded that in case of melanoma, the …

In medical image processing, the skin lesion segmentation problem plays a vital role,
because it is necessary to improve quality of extracting skin lesion features to classify the …

Skin lesion analysis is a tedious and challenging task, thus, in this research the suitability of
employing machine learning or deep learning approaches for automatic lesion …

Automatic segmentation of skin lesions is the first step towards development of a computer-
aided diagnosis of melanoma. Although numerous segmentation methods have been …

In recent times, there has been a huge increase in the average number of cases of skin
cancer per year, which sometimes become life threatening for humans. Early detection of …

Skin tumor acts as a premier factor for high death rate throughout the world. It is difficult for
the radiologists to segment the skin tumour cells. Various research work focus on accurate …

Digital image processing is turning out to be increasingly more significant in the health care
field used to diagnose skin cancer. The death rate is increasing by 1% every year due to …