R-CNN minus R by Lenc, K, Vedaldi, A

“…However, the role of segmentation in CNN detectors remains controversial. …”

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.…”

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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Attractiveness of Singapore's tertiary business education to foreign students by Pang, Kah Kin, Tee, Chun Siang, Teo, Reddy Hong Joo

“…This research aims to group factors important to international students studying management education in Singapore and also investigates for significant differences between different segments of the same population.…”
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Slip along the San Andreas fault associated with the great 1857 earthquake by Sieh, Kerry

“…It is relatively uniform along each of several long segments, but changes rather abruptly in value between these segments. …”
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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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Audio watermarking by Ho, Shuet Mun, Ng, Ling Mei

“…This non-blind watermarking algorithm is based on both time and frequency base modulation. Segments of the file are compressed or expanded by adding or removing samples in the frequency domain. …”
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The changing nature of Chinese business in Africa : the case of Cape Verde by Horta, Loro

“…Chinese state companies are usually singled out for criticism in the West due to their links with despotic African regimes all for the sake of profit. The nature of Chinese business in Africa is however becoming more complex.…”
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Design and development of bio-medical devices using rapid prototyping techniques by Phua, Kenneth Khiang Song.

“…Many drug regimes must be carefully dosed as they are either too complicated to be self –administered or face low compliance by the patients themselves. …”
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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. …”

A comparative analysis of missing data imputation techniques on sedimentation data by Loh, Wing Son, Ling, Lloyd, Chin, Ren Jie, Lai, Sai Hin, Loo, Kar Kuan, Seah, Choon Sen

“…A comparative analysis on the missing fine sediment data imputation performance was made based on four different techniques, namely the k-Nearest Neighbourhood (k-NN), Support Vector Regression (SVR), Multiple Regression (MR), and Artificial Neural Network (ANN), under the single imputation (SI) and multiple imputation (MI) regimes. Across different missing data proportions (10%-50%), the ANN demonstrated optimal results with consistent performance metrics recorded over both SI and MI regimes. …”
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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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