Skin cancer diagnosis often relies on image segmentation as a crucial aid, and a high-
performance segmentation can lower misdiagnosis risks. Part of the medical devices often …

The need for a lightweight and reliable segmentation algorithm is critical in various
biomedical image-prediction applications. However, the limited quantity of data presents a …

Melanoma is a malignant tumor condition which can be successfully cured with early
detection and treatment. Currently, deep learning is one of the research hotspots in …

Lesion segmentation algorithms automatically outline lesion areas in medical images,
facilitating more effective identification and assessment of the clinically relevant features …

Recently, some pioneering works have preferred applying more complex modules to
improve segmentation performances. However, it is not friendly for actual clinical …

Abstract Background and Objective Accurate segmentation of skin lesions is a pivotal step in
dermoscopy image classification, which provides a powerful means for dermatologists to …

Segmentation of skin lesions is a critical step in the process of skin lesion diagnosis. Such
segmentation is challenging due to the irregular shape, fuzzy contours and severe noise …

The automatic segmentation of the skin lesion on dermoscopy images is an important step
for diagnosing the melanoma. However, the skin lesion segmentation is still a challenging …

Abstract Computer-Aided Diagnosis (CAD) for dermatological diseases offers one of the
most notable showcases where deep learning technologies display their impressive …

Melanoma is one kind of dangerous cancer that has been increasing rapidly in the world.
Initial diagnosis is essential to survival, but often the disease is diagnosed in the fatal stage …