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 …

The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

Background: The dermatologist widely uses digital dermoscopy for the detection of
melanoma. The accurate detection of melanoma by clinicians is subjective and further …

Large-scale labeled datasets are generally necessary for successfully training a deep
neural network in the computer vision domain. In order to avoid the costly and tedious work …

One of the main problems in skin lesion detection is image segmentation. This method is
essential not only for image processing-based but also for machine learning-based skin …

The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …

Convolutional neural network (CNN) models have been extensively applied to skin lesions
segmentation due to their information discrimination capabilities. However, CNNs' struggle …

The 3L-Person 2023 workshop provided a unique forum for researchers and practitioners
from diverse backgrounds to explore the multifaceted role of information and communication …

Abstract High-resolution Magnetic Resonance Imaging (MRI) allows the visualization of the
anatomy of different skin layers and provides a wide range of physical and biochemical …

Healthcare agents, in particular in the oncology field, are currently collecting vast amounts of
diverse patient data. In this context, some decision-support systems, mostly based on deep …