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

“…The histological images were released through the Breast Cancer Semantic Segmentation (BCSS) Challenge. DRD-UNet outperformed the original UNet architecture and 15 other UNet-based architectures on the segmentation of 12,930 image patches extracted from regions of interest that ranged in size between 1036×1222 to 6813×7360 pixels. …”
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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

“…We introduce TriCoS, a new co-segmentation algorithm that looks at all training images jointly and automatically segments out the most class-discriminative foregrounds for each image. …”

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

“…From the discussions, it is found that the common image segmentation methods comprise of semantic and instance segmentation, with instance segmentation giving more accurate and robust results for tracking objects but with higher 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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Contextual object detection with multimodal large language models by Zang, Yuhang, Li, Wei, Han, Jun, Zhou, Kaiyang, Loy, Chen Change

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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

“…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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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

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

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

“…<p>In this paper, we address panoramic semantic segmentation which is under-explored due to two critical challenges: (1) image distortions and object deformations on panoramas; (2) lack of semantic annotations in the 360∘&nbsp;imagery. …”

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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