Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models by Laham, Mohamed Faris, Jumaat, Abdul Kadir, Badarul Azam, Amisha Balkis, Maasar, M. A, Badarul Azam, A. S., Mohammad Sabri, Nur Afiqah Sabirah, Yahaya, Amiratul Munirah, Ismail, Ahmad Thaqif, Abdul Razak, Muhammad Anas

“…Recently, the Gaussian Regularization Segmentation (GRS) model has shown effectiveness in intensity inhomogeneity grayscale image segmentation, though it was not designed for corrupted OJM images. …”
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Occlusion handling for augmented reality environment using neural network image segmentation: A review. by Ahmad, Muhammad Anwar, Mohd. Suaib, Norhaida, Ismail, Ajune Wanis

“…Recently, the advancements of handling occlusions for Augmented Reality (AR) introduces neural network-based image segmentation methods. However, it comes with increased computational costs. …”

Restoration and Segmentation of Old Jawi Manuscripts using Variational Image Inpainting and Active Contour Models by Badarul Azam, Akmal Shafiq, Jumaat, Abdul Kadir, Badarul Azam, Amisha Balkis, Mohammad Sabri, Nur Afiqah Sabirah, Yahaya, Amiratul Munirah, Ismail, Ahmad Thaqif, Abdul Razak, Muhammad Anas, Maasar, Mohd Azdi, Laham, Mohamed Faris

“…Recently, the Gaussian Regularization Segmentation (GRS) model has shown effectiveness in intensity inhomogeneity grayscale image segmentation, though it was not designed for corrupted OJM images. …”
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Behind every domain there is a shift: adapting distortion-aware vision transformers for panoramic semantic segmentation by Zhang, J, Yang, K, Shi, H, ReiB, S, Peng, K, Ma, C, Fu, H, Torr, PHS, Wang, K, Stiefelhagen, R

“…Extensive experiments are conducted, which cover indoor and outdoor scenarios, and each of them is investigated with Pin2Pan and Syn2Real regimens. Trans4PASS+ achieves state-of-the-art performances on four domain adaptive panoramic semantic segmentation benchmarks. …”

Investment outlook for the medium range tanker segment from the perspective of a ship financier from 2011 to 2015 by Han, Peinan.

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Cardiovascular magnetic resonance before invasive coronary angiography in suspected non-ST-segment elevation myocardial infarction by Shanmuganathan, M, Nikolaidou, C, Burrage, MK, Borlotti, A, Kotronias, R, Scarsini, R, Banerjee, A, Terentes-Printzios, D, Pitcher, A, Gara, E, Langrish, J, Lucking, A, Choudhury, R, Luigi De Maria, G, Banning, A, Oxford Acute Myocardial Infarction (OxAMI) Study Investigators, Piechnik, SK, Channon, KM, Ferreira, VM

“…<p><strong>Background:</strong> In suspected non–ST-segment elevation myocardial infarction (NSTEMI), this presumed diagnosis may not hold true in all cases, particularly in patients with nonobstructive coronary arteries (NOCA). …”

Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation / by Iman Omidvar Tehrani, 1983-, author 623414, Habibollah Haron, supervisor 255448, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation / by Iman Omidvar Tehrani, 1983-, author 623414

Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound by Chen, Yiming

“…Unfortunately, current segmentation networks like the UNet lack the precision required for clinical adoption in IVUS workflows. …”
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FPS-Net: a convolutional fusion network for large-scale LiDAR point cloud segmentation by Xiao, Aoran, Yang, Xiaofei, Lu, Shijian, Guan, Dayan, Huang, Jiaxing

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Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models by Luo, Jiayun

“…PnP-OVSS leverages a VLM with direct text-to-image cross-attention and an image-text matching loss to produce semantic segmentation. However, cross-attention alone tends to over-segment, whereas cross-attention plus GradCAM tend to under-segment. …”
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Medio-lateral forefoot segmentation for clinical gait analysis based on metatarsal subunit rigidity and angular motion by Zavatsky, A, Chan, P-H, Stebbins, J

Mine yOur owN Anatomy: revisiting medical image segmentation with extremely limited labels by You, C, Dai, W, Liu, F, Min, Y, Dvornek, NC, Li, X, Clifton, DA, Staib, L, Duncan, JS

“…In this paper, we introduce a novel semi-supervised 2D medical image segmentation framework termed Mine yOur owNAnatomy (MONA), and make three contributions. …”

Fostering motivation in TVET students: the role of learner-paced segments and computational thinking in digital video learning by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya, Syed Zulkarnain Syed Idrus, Mohd Noorul Fakhri Yaacob

“…This study aims to address this gap by examining how learner-paced predefined segments and CT algorithmic thinking can impact TVET students' perceived motivation. …”
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LaCNet : real-time end-to-end arbitrary-shaped lane and curb detection with instance segmentation network by Zhou, Hui, Wang, Han, Zhang, Handuo, Hasith, Karunasekera

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The four facets of self-collection service for e-commerce delivery : conceptualisation and latent class analysis of user segments by Wang, Xueqin, Wong, Yiik Diew, Teo, Chee Chong, Yuen, Kum Fai, Feng, Xuehao

“…Based on the conceptualisation, five latent segments of the service are identified, which are labelled as Patrons, Traditionalists, Self-enhancers, Green-lovers and Haters (from the largest to the smallest segment). …”
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Automated segmentation of visceral, deep subcutaneous, and superficial subcutaneous adipose tissue volumes in MRI of neonates and young children by Kway, Yeshe Manuel, Thirumurugan, Kashthuri, Tint, Mya Thway, Michael, Navin, Shek, Lynette Pei-Chi, Yap, Fabian Kok Peng, Tan, Kok Hian, Godfrey, Keith M., Chong, Yap Seng, Fortier, Marielle Valerie, Marx, Ute C., Eriksson, Johan G., Lee, Yung Seng, Velan, S. Sendhil, Feng, Mengling, Sadananthan, Suresh Anand

“…Segmentation performance was assessed using Dice scores. …”
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Remote sensing applications of machine learning processes: satellite imagery road extraction using few shot segmentation by Ong, Grace Hui Lee

“…However, there is a dearth of studies associated with applying few-shot segmentation onto road extraction tasks. Hence, in this project, two main models: i) U-Net, a popular model for binary segmentation, and ii) PFENet, a state-of-the-art few-shot segmentation model, are trained to learn a classifier to segment roads from non-roads, and tested on a set of data from unseen classes. …”
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A novel method for segmenting growth of cells in sheared endothelial culture reveals the secretion of an anti-inflammatory mediator by Ghim, Mean, Pang, Kuin T., Arshad, Mehwish, Wang, Xiaomeng, Weinberg, Peter D.

Subjects: “…Segmenting Growth…”
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A Hybrid Active Contour and Artificial Bee Colony Algorithm for Segmenting Mixed-Meal Food Images (S/O: 13239) by Harun, Nor Hazlyna, Mahmuddin, Massudi, Harun, Hazaruddin

“…Active contour (snake) segmentation is extensively used in image processing and analysis applications particularly for identifying object boundaries. …”
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