Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …

Automatic image segmentation is an indispensable step in medical image analysis, and it
plays an important role in computer-assisted radiotherapy, disease diagnosis and treatment …

The skin, one of the most crucial organs of the human body, serves as a barrier between the
body and the external environment. Early detection of skin diseases is imperative to reduce …

Nowadays, skin disease is becoming one of the most malignant diseases that threaten
people's health. Computer aided diagnosis based on deep learning has become a widely …

Study of skin disease images through human effort, for detection of skin cancer, has always
been a very difficult task. Distinguishing and manually analyzing skin lesions for detection of …

Background: Skin disease image analysis has drawn extensive attention from researchers,
which can help doctors efficiently diagnose skin disease from medical images. Existing …

Skin cancer has been recognized as one of the most lethal and complex types of cancer for
over a decade. The diagnosis of skin cancer is of paramount importance, yet the process is …

Aiming at the low contrast of skin lesion image and inaccurate segmentation of lesion
boundary, a skin lesion segmentation method based on multi-level split receptive field and …

The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion analysis is an
emerging field of research that has the potential to alleviate the burden and cost of skin …