Genomic profiling of mycobacterium tuberculosis strains, Myanmar by Aung, Htin Lin, Nyunt, Wint Wint, Fong, Yang, Biggs, Patrick J., Winkworth, Richard C., Lockhart, Peter J., Yeo, Tsin Wen, Hill, Philip C., Cook, Gregory M., Aung, Si Thu

“…Introducing new oral drugs to replace those currently used in treatment regimens for multidrug-resistant TB will also be useful for treating TB in Myanmar.…”
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Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

“…In this paper, we address the challenging task of scene segmentation. We first discuss and compare two widely used approaches to retain detailed spatial information from pretrained CNN - "dilation" and "skip". …”
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Hybrid SLAM and object recognition on an embedded platform by Low, Timothy Zhi Hao

“…The SCALE semantic segmentation is used to perform semantic segmentation on the input provided by the ZED 2 camera. …”
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Knowledge and practice regarding medication use among elderly with chronic diseases in Felda Tembangau 2, Kemayan, Pahang by Farid, Aina Natasha Mohd

“…The elderly population, defined as those aged 60 and above, faces unique challenges in managing chronic diseases due to physiological changes, limited access to healthcare information, and barriers in understanding and adhering to medication regimens. The aim of this study was to determine the levels of knowledge and practice regarding medication use among elderly with chronic diseases in FELDA Tembangau 2, Kemayan, Pahang and to explore the correlation between these two variables. …”
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Association between a distinctive autoantibody-associated brainstem sensory syndrome and immune checkpoint inhibitors by Damato, V, Berretta, A, Ramanathan, S, Michael, S, Coupe, N, Payne, M, Irani, SR

“…This case series investigates the association of a segmental, facial, antibody-associated brainstem sensory syndrome with the immune checkpoint inhibitor pembrolizumab.…”

Electromyography signal processing based on time and time-frequency representations for prosthesis application by Mahdavi, Farzaneh Akhavan

“…In this study, it was presented that the techniques of segmentation and segment size affect the classification accuracy. …”
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Weakly supervised learning on road area extraction via classification labels by Liu, Xuanyi

“…Then a gated fusion mechanism aggregates CAM and the segmentation branch’s pixel-level segmentation results to refine an output, supervised by some pseudo labels generated from road centerlines. …”
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Heart cycles using heart sounds by Ng, Jia Long

“…Hence, the first step is to implement and study a reliable method in finding heart sound segmentation. Then, further diagnostic technology can be researched using these segmentation data as it provides an exact location of the heart sound in each heart cycle. …”
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Rotation Inside Convex Kakeya Sets by Janzer, B

“…We also show that in three dimensions the answer is negative, even for the case when S is a line segment – but that in any dimension the first question has a positive answer when S is a line segment. …”

Meta-Learning Frameworks for Imaging Applications / by Sharma, Ashok, 1977-, editor 319639, Sengar, Sandeep Singh, 1985-, editor 656390, Singh, Parveen, 1976-, editor 656391, IGI Global Scientific Publishing (Online service) 655412

“…One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. …”
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Quantitative analysis of coronary artery from computed tomography angiography images by Cui, Hengfei

“…An automatic coronary artery segmentation approach based on Hessian filter and connected components is proposed. …”
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The prevention and management of chronic kidney disease among patients with metabolic syndrome by Zhu, D, Judge, PK, Wanner, C, Haynes, R, Herrington, WG

“…In addition, statin-based regimens lower low-density lipoprotein cholesterol and reduce the risk of atherosclerotic disease (with no clinically meaningful effect on kidney outcomes). …”

Somatic gene mutation patterns and burden influence outcomes with enasidenib in relapsed/refractory IDH2-mutated AML by Risueño, A, See, WL, Bluemmert, I, de Botton, S, DiNardo, CD, Fathi, AT, Schuh, AC, Montesinos, P, Vyas, P, Prebet, T, Gandhi, A, Hasan, M

“…We recently reported results from the phase 3 IDHENTIFY trial (NCT02577406) showing improved response rates and event-free survival with enasidenib monotherapy compared with conventional care regimens (CCR) in heavily pretreated, older patients with late-stage R/R AML bearing IDH2 mutations. …”

Smooth object retrieval using a bag of boundaries by Arandjelović, R, Zisserman, A

“…The descriptors are tolerant to scale changes, segmentation failures, and limited viewpoint changes. …”

Semantic scene understanding on 3D point clouds by Dong, Shichao

“…Using regional purity can simultaneously prevent under-segmentation and over-segmentation problems during clustering. …”
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Image processing using neural network for auto-scoring system by Ruan, Zhendui.

“…Image processing comprises of image retrieval, segmentation and features extraction as well as classical statistical and modern classification techniques. …”
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What Singapore investors want in a financial adviser by Chen, Carolyn Meijun, Fang, Mindy Liwei, Lim, Karen Lee Mei

“…This will provide an insight to the criteria financial advisers should focus on as well as the market segment that emerging independent financial advisers should target.…”
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Exposing digital image forgeries by detecting discrepancies in motion blur by Kakar, Pravin, Ser, Wee, Sudha, N.

“…Experimental results show that our technique provides good segmentation of regions with inconsistent motion blur. …”
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Singapore airlines : the business of flying by Tan, Sung Cheng, Tan, Ting Szu, Tie, Hwee Ling

“…Due to the possible extend of scope, the study is focused on the segment of business air travellers.…”
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Employee turnover : bad attitude or poor management? by Khadijah Abdul Rahman., Norfarhana Supaat., Norhayati Haron.

“…The variables for the turnover are segmented into three categories - controllable, uncontrollable and demographics.…”
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