Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images by Lin, Dehui.

“…Detection and segmentation of the column of vertebral bodies are intermediate steps required to identify the bone marrow which is considered as the wrongly labeled visceral adipose tissue in the assessment of abdominal obesity. …”
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A study on Stevedoring companies and their operations in Singapore : break bulk shipping segment by Ng, Donovan Chun Hong

“…Just as how the break bulk shipping segment has not disappeared after containerization, but has changed in nature to become a specialised sector, handling goods which are challenging to transport in containers or where containerization does not represent a valid and cost-efficient mode of transport.…”
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Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images by Tian, Jing, Marziliano, Pina, Baskaran, Mani, Tun, Tin Aung, Aung, Tin

“…This labeling process is tedious and subjective of inter-observer differences, hence, automatic segmentation of the choroid layer is highly desirable. …”
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Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

“…We introduce the basics of coalescent theory to understand IBD segments detection and then pro- vide an overview of a state-of-the art methods for detecting IBD segments, comparing the most commonly used and recent existing methods. …”

Rethinking semi-supervised medical image segmentation: a variance-reduction perspective by You, C, Dai, W, Min, Y, Liu, F, Clifton, DA, Zhou, SK, Staib, L, Duncan, JS

“…For medical image segmentation, contrastive learning is the dominant practice to improve the quality of visual representations by contrasting semantically similar and dissimilar pairs of samples. …”

OpenOFM: an open-source implementation of the multi-segment Oxford Foot Model by Dixon, P, Drew, E, McBride, S, Harrington, M, Stebbins, J, Zavatsky, A

“…Evaluation was conducted using the normalised root mean square error (NRMSE) between the inter-segment angles and arch heights of both implementations. …”

BiCoS: a bi-level co-segmentation method for image classification by Chai, Y, Lempitsky, V, Zisserman, A

“…The objective of this paper is the unsupervised segmentation of image training sets into foreground and background in order to improve image classification performance. …”

BLUE OCEAN SHIFT : BEYOND COMPETING - PROVEN STEPS TO INSPIRE CONFIDENCE AND SEIZE NEW GROWTH / by Kim, W. Chan, author 318022, Mauborgne, Renée, author 387551, Hachette Books Group (Online service) 647103

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DEM study of the size-induced segregation dynamics of a ternary-size granular mixture in the rolling-regime rotating drum by Yang, Shiliang, Zhang, Liangqi, Luo, Kun, Chew, Jia Wei

“…In view of the ubiquitous continuous particle size distributions, this study builds on the considerable knowledge gained so far from binary-size mixtures and extends it to a ternary-size mixture to understand the impact of the presence of a third particle size in the three-dimensional rotating drum operating in the rolling flow regime. The discrete element method is employed. The evolution of segregation, the active-passive interface, and the dynamical response of the particle-scale characteristics of the different particle types in the two regions are investigated. …”
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Development Of A Formative Assessment Regime For Chinese-english Interpreter Training And Its Effects On Academic Achievement, Motivation, And Collaboration by Yan, Da

“…In China’s interpreter training programs, efforts to systematically develop and enact a formative assessment regime has been rarely documented in the extant body of scholarship. …”
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BEACon : a boundary embedded attentional convolution network for point cloud instance segmentation by Liu, Tianrui, Cai, Yiyu, Zheng, Jianmin, Thalmann, Nadia Magnenat

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Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

“…Few-shot point cloud semantic segmentation learns to segment novel classes with scarce labeled samples. …”
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Leveraging mixed data sources for enhanced road segmentation in synthetic aperture radar images by Lan, Tian, He, Shuting, Qing, Yuanyuan, Wen, Bihan

“…In this study, we tackle the task of road segmentation from Synthetic Aperture Radar (SAR) imagery, which is vital for remote sensing applications including urban planning and disaster management. …”
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A hybrid approach towards the segmentation of range images for 3-D object recognition by Lim, Alan Wui Tze.

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A binary level set model and some applications to Mumford-Shah image segmentation by Lie, Johan, Lysaker, Marius, Tai, Xue Cheng

“…We show numerical results using the method for segmentation of digital images.…”
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Public perception of the use of digital contact-tracing tools after the COVID-19 lockdown: sentiment analysis and opinion mining by Huang, Zhilian, Tay, Evonne, Wee, Dillon, Guo, Huiling, Lim, Hannah Yeefen, Chow, Angela

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Sentiment analysis and topic modelling of 2024 U.S. and Indonesian election tweets: a study of political discourse and public opinion by Widawati, Elisia Brispalma

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Early Neoarchean geodynamic regime in the North China Craton: constraints from 2.7 Ga granitoids in the southern Jilin terrane by Liu, J, Zhang, H, Palin, RM, Liu, Z, Zhang, J, Cheng, C, Liu, X, Zhao, C

“…<p>Identifying the processes responsible for the generation and evolution of the Archean continental crust is crucial for understanding the tectonic regimes present on early Earth. A major episode of continental growth during the early Neoarchean has been identified in many cratons worldwide. …”

Synthetic image data generation via rendering techniques for training AI-based instance segmentation by Kho, Dickson Yik Cheng, Norazlianie, Sazali, Ismayuzri, Ishak, Saiful Anwar, Che Ghani

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Dissolving the segmentation of a shared mobility market: A framework and four market structure designs by Guo, Xiaotong, Qu, Ao, Zhang, Hongmou, Noursalehi, Peyman, Zhao, Jinhua

“…We first propose a theoretical framework of shared mobility market segmentation and then propose four market structure designs thereupon. …”
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