Výsledky vyhledávání - "3D segmentation"

Transformers in medical image segmentation: A review Autor Xiao, Hanguang, Li, Li, Liu, Qiyuan, Zhu, Xiuhong, Zhang, Qihang

“…Transformer is a model relying entirely on self-attention which has a wide range of applications in the field of natural language processing. Researchers are…”
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3D vessel-like structure segmentation in medical images by an edge-reinforced network Autor Xia, Likun, Zhang, Hao, Wu, Yufei, Song, Ran, Ma, Yuhui, Mou, Lei, Liu, Jiang, Xie, Yixuan, Ma, Ming, Zhao, Yitian

“…The vessel-like structure in biomedical images, such as within cerebrovascular and nervous pathologies, is an essential biomarker in understanding diseases’…”
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Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound Autor Wang, Yi, Ni, Dong, Dou, Haoran, Hu, Xiaowei, Zhu, Lei, Yang, Xin, Xu, Ming, Qin, Jing, Heng, Pheng-Ann, Wang, Tianfu

“…Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment…”
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Learning of 3D Graph Convolution Networks for Point Cloud Analysis Autor Lin, Zhi-Hao, Huang, Sheng-Yu, Wang, Yu-Chiang Frank

“…Point clouds are among the popular geometry representations in 3D vision. However, unlike 2D images with pixel-wise layouts, such representations containing…”
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SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation Autor Pang, Shumao, Pang, Chunlan, Zhao, Lei, Chen, Yangfan, Su, Zhihai, Zhou, Yujia, Huang, Meiyan, Yang, Wei, Lu, Hai, Feng, Qianjin

“…Spine parsing (i.e., multi-class segmentation of vertebrae and intervertebral discs (IVDs)) for volumetric magnetic resonance (MR) image plays a significant…”
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EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization Autor Wang, Yuhan, Eddison, Mark, Fleishman, Greg, Weigert, Martin, Xu, Shengjin, Wang, Tim, Rokicki, Konrad, Goina, Cristian, Henry, Fredrick E, Lemire, Andrew L, Schmidt, Uwe, Yang, Hui, Svoboda, Karel, Myers, Eugene W, Saalfeld, Stephan, Korff, Wyatt, Sternson, Scott M, Tillberg, Paul W

“…Determining the spatial organization and morphological characteristics of molecularly defined cell types is a major bottleneck for characterizing the…”
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Dual-stream pyramid registration network Autor Kang, Miao, Hu, Xiaojun, Huang, Weilin, Scott, Matthew R., Reyes, Mauricio

“…•We propose a Dual-stream Pyramid Registration Network (referred as Dual-PRNet) for unsupervised 3D medical image registration.•We design a two-stream 3D…”
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An automatic defect classification and segmentation method on three-dimensional point clouds for sewer pipes Autor Wang, Niannian, Ma, Duo, Du, Xueming, Li, Bin, Di, Danyang, Pang, Gaozhao, Duan, Yihang

“…•An 3D inspection method on point clouds for pipe defects was proposed.•The network structure was optimized to improve the inspection accuracy.•The training…”
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Parallel implementation for 3D medical volume fuzzy segmentation Autor AlZu’bi, Shadi, Shehab, Mohammed, Al-Ayyoub, Mahmoud, Jararweh, Yaser, Gupta, Brij

“…•This research introduces the hybrid optimization of both CPU and GPU for image processing.•A novel 3D medical volume segmentation is proposed.•Modified FCM…”
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An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms Autor Mu, Nan, Lyu, Zonghan, Rezaeitaleshmahalleh, Mostafa, Tang, Jinshan, Jiang, Jingfeng

“…•This paper proposes automatically segmenting vasculature, including intracranial aneurysms, from 3DRA images with the need for “patient-specific”…”
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Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images Autor Barisin, Tin, Jung, Christian, Müsebeck, Franziska, Redenbach, Claudia, Schladitz, Katja

“…•Comparison of eight methods for crack detection in 3d CT concrete images.•Simulation of 3d crack images gives unbiased ground truth for evaluation.•Parameter…”
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Binary segmentation of relief patterns on point clouds Autor Paolini, Gabriele, Tortorici, Claudio, Berretti, Stefano

“…Analysis of 3D textures, also known as relief patterns is a challenging task that requires separating repetitive surface patterns from the underlying global…”
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SHREC 2022: Protein–ligand binding site recognition Autor Gagliardi, Luca, Raffo, Andrea, Fugacci, Ulderico, Biasotti, Silvia, Rocchia, Walter, Huang, Hao, Amor, Boulbaba Ben, Fang, Yi, Zhang, Yuanyuan, Wang, Xiao, Christoffer, Charles, Kihara, Daisuke, Axenopoulos, Apostolos, Mylonas, Stelios, Daras, Petros

“…This paper presents the methods that have participated in the SHREC 2022 contest on protein–ligand binding site recognition. The prediction of protein- ligand…”
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DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation Autor Usman, Muhammad, Shin, Yeong-Gil

“…Measuring pulmonary nodules accurately can help the early diagnosis of lung cancer, which can increase the survival rate among patients. Numerous techniques…”
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A new architecture combining convolutional and transformer‐based networks for automatic 3D multi‐organ segmentation on CT images Autor Li, Chengyin, Bagher‐Ebadian, Hassan, Sultan, Rafi Ibn, Elshaikh, Mohamed, Movsas, Benjamin, Zhu, Dongxiao, Chetty, Indrin J.

“…Deep learning-based networks have become increasingly popular in the field of medical image segmentation. The purpose of this research was to develop and…”
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Mucoepidermoid bronchial tumor in a child masquerading as tuberculosis Autor Goussard, Pierre, Gie, André, Venkatakrishna, Shyam, Andronikou, Savvas, Ebert, Lars, Verster, Janette, Schubert, Pawel T., Opperman, Johan, Janson, Jacques

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Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields Autor Miao, Xingyu, Duan, Haoran, Bai, Yang, Shah, Tejal, Song, Jun, Long, Yang, Ranjan, Rajiv, Shao, Ling

“…In this work, we propose a method that leverages CLIP feature distillation, achieving efficient 3D segmentation through language guidance. Unlike previous…”
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SAM2Med3D: Leveraging video foundation models for 3D breast MRI segmentation Autor Chen, Ying, Cui, Wenjing, Dong, Xiaoyan, Zhou, Shuai, Wang, Zhongqiu

“…Foundation models such as the Segment Anything Model 2 (SAM2) have demonstrated impressive generalization across natural image domains. However, their…”
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Improved level set method for particle reconstruction from X-ray computed tomography images Autor Wang, Tingxuan, Fei, Wenbin, Ehinger, Krista A., Drummond, Tom W., Narsilio, Guillermo A.

“…The heat and fluid flow properties of granular materials are largely controlled by their 3D microstructures. With recent advancements in image-based network…”
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SA3D-L: A lightweight model for 3D object segmentation using neural radiance fields Autor Liu, Jian, Yu, Zhen

“…The Segment Anything Model (SAM) has recently made significant progress in object segmentation within 2D images. However, the task of segmenting objects in a…”
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