Dual attention deep learning network for automatic steel surface defect segmentation by Pan, Yue, Zhang, Limao

“…Experimental results show that, compared with other deep learning models, DAN-DeepLabv3+ based on the Xception backbone exhibits the best segmentation performance under the mean intersection over union (IoU) of 89.95% and the frequency-weighted IoU of 97.34%. …”
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Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets by Soh, Wei Kwek, Rajapakse, Jagath Chandana

“…HUT achieves higher Dice scores and reduced Hausdorff Distance scores in single-modality and multi-modality lesion segmentation. HUT outperforms the state-the-art network SPiN in the single-modality MRI segmentation on Anatomical Tracings of lesion After Stroke (ATLAS) dataset by 4.84% of Dice score and a large margin of 40.7% in the Hausdorff Distance score. …”
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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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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. …”

Is there a role for traction forces exerted at the polar regions in the cytokinesis of adherent cells? by Foo, Jasmine Mao Shan.

“…I found that cells that adhered firmly to substrates could produce opposite traction forces at polar regions during cell division, leading to a slight delay in cytokinesis. …”
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A statistical fat-tail test of predicting regulatory regions in the Drosophila genome by Shu, Jian Jun, Li, Yajing

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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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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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Regional frequency analysis on peninsular Malaysia using L-moments / by Sharainie Sahrin, 1992- author 646672, Norazlina Ismail, supervisor 305206, Nor Eliza Alias, supervisor 630084, Fakulti Sains 8004

Regional frequency analysis on peninsular Malaysia using L-Moments / by Sharainie Sahrin, 1992-, author 595990

Regional seismic risk of railway system including derailment consequences by Uchiyama, Yayoi Misu

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An overview of child and family welfare activities in the IPPF-ESEAO Region by Lee, Lily.

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New avenues for regional cooperation : tackling human trafficking in Asia by Cook, Alistair David Blair, Caitriona H. Heinl

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An achievable region for double-unicast networks with linear network coding by Zeng, Yong, Ho, Tracey, Guan, Yong Liang, Xu, Xiaoli

“…In this paper, we present an achievable rate region for double-unicast networks by assuming that the intermediate nodes perform random linear network coding, and the source and sink nodes optimize their strategies to maximize the achievable region. …”
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Multilateral security cooperation in the Asia-Pacific region : prospects and possibilities by Ball, Desmond

“…It acknowledges the extraordinary progress of the institutionalisation of multilateral security cooperation between 1992-97 but also sees this process and institutionalising a region-wide confidence-building process were fundamentally important achievements of the first five-year period, but they were relatively easy undertakings when compared to mroe substantive activites such as preventive diplomacy, conflict resolution or arms control.…”
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Disaster governance and prospects of inter-regional partnership in the Asia-Pacific by Cook, Alistair David Blair, Chen, Christopher Zhiming

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