Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds by Wei, Jiacheng, Lin, Guosheng, Yap, Kim-Hui, Hung, Tzu-Yi, Xie, Lihua

“…Existing methods for point cloud segmentation require a large amount of fully labeled data. …”
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Interfacial fracture behavior of double-ceramic-layer thermal barrier coating system with segmented structure by Li, Biao, Fan, Xueling, Wang, Tiejun, Zhou, Kun

“…Segmented double-ceramic-layer thermal barrier coating system (DCL-TBCs) is promising for application in next-generation turbines. …”
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Automated lesion segmentation and quantification for prediction of paradoxical worsening in patients with tubercular serpiginous-like choroiditis by Kalra, Gagan, Agarwal, Aniruddha, Marchese, Alessandro, Agrawal, Rupesh, Bansal, Reema, Gupta, Vishali

“…The images were preprocessed to exclude the optic nerve from the fundus photo using a single-shot trainable WEKA segmentation algorithm. Two automatic thresholding algorithms were applied, and quantitative metrics were generated. …”
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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

“…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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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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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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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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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

“…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). …”