Skin cancer (melanoma) is one of the most aggressive cancers and prevalence has significantly increased due to exposure ultraviolet radiation. Therefore, timely detection management lesion a critical consideration in order improve lifestyle reduce mortality. To this end, we have designed, implemented analyzed hybrid approach entailing convolutional neural networks (CNN) local binary patterns (L...

Skin cancer is the most common human malignancy according to American Cancer Society. It primarily diagnosed visually, starting with an initial clinical screening and followed potentially by dermoscopic (related skin) analysis, a biopsy histopathological examination. occurs when errors (mutations) occur in DNA of skin cells. The mutations cause cells grow out control form mass aim this study wa...

The shift between the source and target domains is main challenge in cross-domain few-shot learning (CD-FSL) tasks. However, domain unknown during training domain, which results a lack of directed guidance for We observe that, owing to similar backgrounds domains, self-labelled samples can be applied as prior tasks transfer knowledge onto Accordingly, we propose task-expansion-decomposition fra...

Skin cancer is the most common type of in world and it more treatable if diagnosed early. The diagnosis process usually starts with segmenting skin lesion area planning a follow-up treatment by dermatologists. Thus, segmentation plays critical role process. In recent years, machine learning methods, especially deep convolutional neural networks are proposed to address challenge. methods (e.g., ...

The article addresses the problem of measuring Information and Communication Technology (ICT) sector its relationship to digital economy as defined in OECD «Guidelines for Supply-Use Tables Digital Economy». Analysis various concepts shows that ICT is key element. It stressed that, line with recommendations, measurement should be based on SNA satellite account, core element which are (Digital S...

This study aims to analyze the growth of TFP in textile industry and product (TPT) Indonesia. Productivity analysis is carried out determine extent performance development how efficient Calculation value Total Factor (TFP) by decomposing components namely TEC, TC, SEC using Stochastic Frontier Analysis (SFA). uses type firm level TPT data years 2010-2014. The used secondary which result an annu...

An effective way to improve the performance of deep neural networks in most computer vision tasks is quantity labeled data and quality labels. However, analysis processing medical images, high-quality annotation depends on experience professional knowledge experts, which makes it very difficult obtain a large number annotations. Therefore, we propose new semi-supervised framework for image clas...

Skin cancer is one of the most common human malignancies, which generally diagnosed by screening and dermoscopic analysis followed histopathological assessment biopsy. Deep-learning-based methods have been proposed for skin lesion classification in last few years. The major drawback all that they require a considerable amount training data, poses challenge classifying medical images as limited ...