Automatic polyp segmentation from colonoscopy images is an essential prerequisite for the development of computer-assisted therapy. However, complex semantic information and blurred edges polyps make extremely difficult. In this paper, we propose a novel semi-supervised framework using affinity contrastive learning (ACL-Net), which implemented between student teacher networks to consistently re...

<p><span id="docs-internal-guid-cea63826-7fff-8080-83de-ad2ba4604953"><span>Thyroid nodule are fluid or solid lump that formed within human’s gland and most thyroid doesn’t show any symptom sign; moreover there certain percentage of cancerous which could lead human into critical situation up to death. Hence, it is one the important type cancer also for detection cancer. Ultras...

Many databases store data in relational format, with different types of entities and information about links between the entities. The field of statistical-relational learning has developed a number of new statistical models for such data. Most of these models aim to support instance-level predictions about the attributes or links of specific entities. In this paper we focus on learning class-l...

The identification of bone lesions is crucial in the diagnostic assessment of multiple myeloma (MM). 68Ga-Pentixafor PET/CT can capture the abnormal molecular expression of CXCR-4 in addition to anatomical changes. However, whole-body detection of dozens of lesions on hybrid imaging is tedious and error prone. It is even more difficult to identify lesions with a large heterogeneity. This study ...

Game-based learning or serious games is becoming an important trend in the e-learning research area and seems address several typical elearning problems such as high dropout rates, due to the lack of motivation to continue studying. In serious games, it is very hard to define and mix the learning situations with the game characteristics, and to integrate an assessment and guidance process of th...

The research presented in this paper is part of the comprehensive CL-Net project (Computer-Supported Collaborative Learning Networks in Primary and Secondary Education) funded by the European Union. The overall aim of the CL-Net project was to examine how knowledge construction and skill building can be fostered in primary and secondary school pupils by immersing them under the guidance of a te...

This paper investigates the methods for learning Bayesian belief network (BN) based predictive models for classification. Our primary interests are in the unrestricted Bayesian network and Bayesian multi-net based classifiers. We present our algorithms for learning these classifiers and also the methods for fighting the overfitting problem. A natural method for feature subset selection is also ...

Frog Virtual Learning Environment (VLE) is used to enhanced teaching and learning in Malaysia government public schools since 2012. VLE has become the main mechanism in supporting on-line education in primary and secondary schools in Malaysia. Thus, Frog VLE was introduced by Malaysia’s Ministry of Education (MoE) as a tool to support student’s learning which evolved from the 1Bestari Net Proje...