Skin lesion segmentation plays an important role in automatic skin cancer diagnosis. One of
the most dangerous types of this cancer is melanoma which requires an early and accurate …

Melanoma skin cancer is one of the most dangerous forms of skin cancer because it grows
fast and causes most of the skin cancer deaths. Hence, early detection is a very important …

This paper addresses the problem of automated skin lesion segmentation in dermoscopy
images. We propose a novel Multi-Scale Fully Convolutional DenseNets (MSFCDN) for skin …

Lesion segmentation in skin images is an important step in computerized detection of skin
cancer. Melanoma is known as one of the most life threatening types of this cancer. Existing …

Patients diagnosed with skin cancer like melanoma are prone to a high mortality rate.
Automatic lesion analysis is critical in skin cancer diagnosis and ensures effective treatment …

With a large influx of dermoscopy images and a growing shortage of dermatologists,
automatic dermoscopic image analysis plays an essential role in skin cancer diagnosis. In …

Melanoma is considered the deadliest form of skin cancer, and the number of cases is
increasing day by day. The early diagnosis of melanoma is critical, as it significantly …

Reliable and accurate segmentation of skin lesions images is an essential step in analysing
skin lesions for the clinical diagnosis and treatment of melanoma skin cancer. Skin cancer …

Skin cancer has a significant impact across the world. Melanoma is a malignant form of skin
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …

Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin
cancer by computerized systems. However, automatic segmentation of skin lesions in …