Variational model with image denoising fitting term for boundary extraction of breast ultrasound images by Badrulhisam, Nurdina, Ismail, Nurhuda, Jumaat, Abdul Kadir, Maasar, Mohd Azdi, Laham, Mohamed Faris

“…A recent selective variational model, termed the Convex Distance Selective Segmentation (CDSS) model, is effective at segmenting a specific image object. …”
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Distinct Circle of Willis anatomical configurations in healthy preterm born adults: a 3D time-of-flight magnetic resonance angiography study by Greggio, J, Malamateniou, C, Baruteau, KP, Reyes-Aldasoro, CC, Huckstep, OJ, Francis, JM, Williamson, W, Leeson, P, Lewandowski, AJ, Lapidaire, W

“…Results: We identified 164 participants with variant CoW configurations. Unilateral segment hypoplasia (30%) and unilateral segment absence (29%) were the most common variations, with over 50% related to the posterior communicating artery (PComA). …”

Behaviour of joints in tunnel linings by Alevey, Niall Mac, Ashraf Mohamed Hefny

“…Precast concrete tunnel segments are used extensively to construct tunnel linings. …”
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An anatomical study to control the movement of a beetle's hind leg through electrical stimulation of muscles by Yeong, Jun Hao

“…The experimental results shows that, the muscles that control a particular segment of the leg have to reside in the previous segment and the musculature structure in the femur allows greater translating of power during walking as compared to other segments of the hind leg. …”
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Machine learning based retinal vessel detection by Li, Hongru

“…Vessel Detection/segmentation based on computer vision and machine learning provides an efficient and economic benefit tool for retinal image analysis. …”
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Automated colorization of animated characters by Lin, Jiajun

“…Additionally, image segmentation models, including PSANet and PSPNet, are investigated for possible integration into Segment Matching Models to achieve T-pose Reference-based Prediction. …”
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Self-learning shape recognition in medical images by Ma, Jingting

“…Accordingly, automatic biomedical image segmentation becomes a crucial pre-requisite in practice and has been a critical research issue over tens of years. …”
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Information technology industry in Taiwan : a study of enterprise solutions and services by Dua, Chong Kiang, Lin, Wen Jong, Sim, Elsie Wei Lin, Qian, Renee Chengming

“…This study focuses on the segment of ‘enterprise solutions and services. Definitions and categorization of software products are first established to enable further literature discussion on the critical success factors for companies operating in this segment.…”
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Interactive learning on simple infra-red transceiver by Chee, Danielle Yan Kei

“…This project is made of two main parts, which would be a hardware segment and a software segment. The hardware segment involves an infra-red remote that transmits a modulated message signal and a receiver system that senses infra-red light and demodulates the incoming signal. …”
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Aerodynamic optimization and drag minimization for the ultra low cost UAV piquero aerodynamic by Liu, Hao

“…The project is divided into 3 segments. The first segment is a 2-dimensional validation of the turbulence model used using a NACA-0012 airfoil. …”
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Satellite image fusion for land cover classification by Tsan, Li Ling

“…Through the remote sensing techniques using Synthetic Aperture Radar(SAR), SAR images are pre-processed and later segmented to produce the segmentation maps which gives the land cover classification. …”
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Thermoplastic polymer nanocomposites based on polydopamine-coated clay : preparation, structures and properties by Phua, Si Lei

“…This strong interfacial interaction between D-clay and hard segments not only facilitates the stress transfer across the filler and polymer matrix, but also acts as nucleating agent for hard segment crystallization, leading to higher hard segment crystallinity. …”
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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

“…This approach reduced inter-observer variability and improved the consistency of myocardial segmentation.</p> <br> <p>The fourth goal is to assist the automated segmentation of CMR short-axis slices into the American Heart Association 16-segment model for clinical applications across various CMR modalities. …”

Fracture identification in well logging images: two-stage adaptive network by Zhang, Wei, Li, Zhipeng, Wu, Tong, Yao, Zhenqiu, Qiu, Ao, Li, Yanjun, Shi, Yibing

“…Automatic fracture identification and segmentation in well logging images is increasingly critical but arduous because of extensive exploration for oil and gas. …”
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The Enggano-Dutch word list derived from Helfrich's (1916) “Nadere Bijdrage Tot de Kennis van Het Engganeesch” by Rajeg, GPW

“…This version (0.1.1) now includes the word list in a tab-separated file (.tsv) that has the following features (in the columns): (a) common/standardised transcription, also in segmented format (Columns form_common_transcription and form_common_segments); (b) phonemic transcription in segmented format (Column form_ipa_segments); (c) Indonesian translation of the English gloss using the deeplr R package (Column indonesian). …”

Estimating evolutionary and demographic parameters via ARG-derived IBD by Huang, Z, Kelleher, J, Chan, Y, Balding, D

“…Inference of evolutionary and demographic parameters from a sample of genome sequences often proceeds by first inferring identical-by-descent (IBD) genome segments. By exploiting efficient data encoding based on the ancestral recombination graph (ARG), we obtain three major advantages over current approaches: (i) no need to impose a length threshold on IBD segments, (ii) IBD can be defined without the hard-to-verify requirement of no recombination, and (iii) computation time can be reduced with little loss of statistical efficiency using only the IBD segments from a set of sequence pairs that scales linearly with sample size. …”

Satellite optical and radar image fusion for land cover classification by Zhang, Guobin

“…Following that, different segmentation techniques will be applied to the filtered SAR image, such as Watersheld, Chan-Vese, Superpixel and K-Means segmentation methods. …”
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Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

“…Satellite image time series (SITS) segmentation is crucial for many applications, like environmental monitoring, land cover mapping, and agricultural crop type classification. …”
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Matching-constrained active contours with affine-invariant shape prior by Yeung, Sai-Kit, Wang, Junyan, Chan, Kap Luk

“…In the object segmentation by active contours, an initial contour provided by user is often required. …”
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Behavior of the southernmost San Andreas fault during the past 300 years by Sieh, Kerry, Williams, Patrick L.

“…Surficial creep occurs at low rates along the Coachella Valley segment of the San Andreas fault, which has not produced a large earthquake during the period of historical record. …”
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