Pseudomonas aeruginosa microcolonies in coronary thrombi from patients with ST-segment elevation myocardial infarction by Hansen, Gorm Mørk, Givskov, Michael, Hansen, Peter Riis, Belstrøm, Daniel, Nilsson, Martin, Helqvist, Steffen, Nielsen, Claus Henrik, Holmstrup, Palle, Tolker-Nielsen, Tim

Subjects: “…ST Segment Elevation Myocardial Infarction…”
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DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation by Ortega-Ruíz, Mauricio Alberto, Karabağ, Cefa, Roman-Rangel, Edgar, Reyes-Aldasoro, Constantino Carlos

“…For cancer diagnosis, these slides are used to recognize tissues and morphological changes. Tissue semantic segmentation is therefore important and at the same time a challenging and time-consuming task. …”
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Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

“…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”

TriCoS: a tri-level class-discriminative co-segmentation method for image classification by Chai, Y, Rahtu, E, Lempitsky, V, Van Gool, L, Zisserman, A

“…The aim of this paper is to leverage foreground segmentation to improve classification performance on weakly annotated datasets – those with no additional annotation other than class labels. …”

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

“…To preserve OJM, image inpainting and segmentation are essential for restoring corrupted areas and identifying text. …”
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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

“…To preserve OJM, image inpainting and segmentation are essential for restoring corrupted areas and identifying text. …”
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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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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. …”

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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Anterior segment optical coherence tomography angiography following trabecular bypass minimally invasive glaucoma surgery by Gan, Jinyuan, Sng, Chelvin C. A., Ke, Mengyuan, Chieh, Chew Shi, Tan, Bingyao, Schmetterer, Leopold, Ang, Marcus

“…To assess anterior segment optical coherence tomography angiography (AS-OCTA) imaging of the episcleral vessels before and after trabecular bypass minimally invasive glaucoma surgery (MIGS).…”
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Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models by Luo, Jiayun

“…However, leveraging such pre-trained models for open-vocabulary semantic segmentation remains a challenge. In this thesis, we propose a simple, yet extremely effective, training-free technique, Plug-and-Play Open-Vocabulary Semantic Segmentation (PnP-OVSS) for this task. …”
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A three dimensional kinematic method for determining the effectiveness of arm segment rotations in producing clubhead speed by Teu, Koon Kiat

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Rupture and variable coupling behavior of the Mentawai segment of the Sunda megathrust during the supercycle culmination of 1797 to 1833 by Philibosian, Belle, Sieh, Kerry, Avouac, Jean-Philippe, Natawidjaja, Danny H., Chiang, Hong-Wei, Wu, Chung-Che, Perfettini, Hugo, Shen, Chuan-Chou, Daryono, Mudrik R., Suwargadi, Bambang W.

“…We conclude that while major earthquakes generally do not involve rupture of the entire Mentawai segment, they may significantly change the state of coupling on the megathrust for decades to follow, influencing the progression of subsequent ruptures.…”
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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

“…Recent studies on contrastive learning have achieved remarkable performance solely by leveraging few labels in the context of medical image segmentation. Existing methods mainly focus on instance discrimination and invariant mapping (i.e., pulling positive samples closer and negative samples apart in the feature space). …”

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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