Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer

Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in CMR images is crucial but time-consuming. Deep learning-based segmentation methods have emerged as effective tools for automating this process. However, CMR images present additional challenges due to irregular and varying heart shapes, particularly in basal and apical slices. In this study, we propose a classifier-guided two-stage network with an all-slice fusion transformer to enhance CMR segmentation accuracy, particularly in basal and apical slices. Our method was evaluated on extensive clinical datasets and demonstrated better performance in terms of Dice score compared to previous CNN-based and transformer-based models. Moreover, our method produces visually appealing segmentation shapes resembling human annotations and avoids common issues like holes or fragments in other models' segmentations.Comment: Accepted by 2023 MICCAI AMAI worksho

ICT supporting healthcare for elderly in China:a systematic mapping study

Abstract Ageing population is a global issue. The numbers of elderly people with health problems are increasing globally. This raises the demand for better quality and efficient healthcare services for elderly. Modern information and communication technology (ICT) offers numerous means to support people’s lives, and also create the convenience to receive and deliver quality and efficient healthcare services. ICT has become natural part of healthcare, and is entrusted with an important role to support healthcare for elderly in the world context. China, like other countries, also faces fast ageing population. How to better support Chinese elderlies’ lives and deliver quality and efficient healthcare becomes a great challenge. Through a systematic mapping study this study analysed how the means of ICT in healthcare for elderly in China are discussed in prior literature. The results showed that the existing studies addressing this issue are extremely scarce and relatively recent. The research field in China is still quite young and immature, and more studies focused on the Chinese context in this research field are urgently needed

Balance and gait training method and system, and terminal

Inventor name used in this publication: 马宗浩Inventor name used in this publication: 郑永平Inventor name used in this publication: 黄子豪Title in Traditional Chinese: 一種平衡和步態的訓練方法、系統及終端China202212 bcchVersion of RecordPublishe

Polyethyleneimine functionalized mesoporous diatomite particles for selective copper recovery from aqueous media

Abstract not availableAtaollah Nosrati, Mikael Larsson, Johan B. Lindén, Zhang Zihao, Jonas Addai-Mensah, Magnus Nydé

Test automation maturity improves product quality:quantitative study of open source projects using continuous integration

Abstract The popularity of continuous integration (CI) is increasing as a result of market pressure to release product features or updates frequently. The ability of CI to deliver quality at speed depends on reliable test automation. In this paper, we present an empirical study to observe the effect of test automation maturity (assessed by standard best practices in the literature) on product quality, test automation effort, and release cycle in the CI context of open source projects. We run our test automation maturity survey and got responses from 37 open source java projects. We also mined software repositories of the same projects. The main results of regression analysis reveal that, higher levels of test automation maturity are positively associated with higher product quality (p-value=0.000624) and shorter release cycle (p-value=0.01891); There is no statistically significant evidence of increased test automation effort due to higher levels of test automation maturity and product quality. Thus, we conclude that, a potential benefit of improving test automation maturity (using standard best practices) is product quality improvement and release cycle acceleration in the CI context of open source projects. We encourage future research to extend our findings by adding more datasets with different programming languages and CI tools, closed source projects, and large-scale industrial projects. Our recommendation to practitioners (in the similar CI context) is to utilize standard best practices to improve test automation maturity

Improving test automation maturity:a multivocal literature review

Abstract Mature test automation is key for achieving software quality at speed. In this paper, we present a multivocal literature review with the objective to survey and synthesize the guidelines given in the literature for improving test automation maturity. We selected and reviewed 81 primary studies, consisting of 26 academic literature and 55 grey literature sources. From primary studies, we extracted 26 test automation best practices (e.g., Define an effective test automation strategy, Set up good test environments, and Develop high-quality test scripts) and collected many pieces of advice (e.g., in forms of implementation/improvement approaches, technical techniques, concepts, and experience-based heuristics) on how to conduct these best practices. We made main observations: (1) There are only six best practices whose positive effect on maturity improvement have been evaluated by academic studies using formal empirical methods; (2) several technical related best practices in this MLR were not presented in test maturity models; (3) some best practices can be linked to success factors and maturity impediments proposed by other scholars; (4) most pieces of advice on how to conduct proposed best practices were identified from experience studies and their effectiveness need to be further evaluated with cross-site empirical evidence using formal empirical methods; (5) in the literature, some advice on how to conduct certain best practices are conflicting, and some advice on how to conduct certain best practices still need further qualitative analysis