Skin cancer is one of the most common cancer types that negatively affect human life
worldwide and can result in death. So early diagnosis is essential for patient treatment …

In recent years, there has been growing interest in the use of computer-assisted technology
for early detection of skin cancer through the analysis of dermatoscopic images. However …

The prevalence of skin cancer has been increasing for the last few decades. Abnormal
growth of cells forms skin lesions, which if not treated at the earliest, may turn into cancer …

Despite the success of deep neural networks in medical image classification, the problem
remains challenging as data annotation is time-consuming, and the class distribution is …

Simple Summary The reported global incidences of skin cancer led to the development of
automated clinical aids for making proper clinical decision models. Correctly classifying the …

Skin cancer is the uncontrollable proliferation of abnormal cells in the epidermis. In manual
examination, the dermoscopic images are used by clinicians to detect skin cancer. However …

Sarcopenia is correlated with poor clinical outcomes in breast cancer (BC) patients.
However, there is no precise quantitative study on the correlation between body composition …

Deep learning techniques provide a powerful and versatile tool in different areas, such as
object segmentation in medical images. In this paper, we propose a network based on the U …

This paper presents a novel approach classifying benign and malignant skin lesions based
on dermoscopy images using a deep learning (DL) framework. We present a dual deep …

Floods and abrasion are the most common disasters in Indonesia. A lot of data is collected
from post-flood and abrasion disasters. From the data released by BNPB, disaster data is …