Search Results - Automatic 3D image segmentation

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach by Duan, Jinming, Bello, Ghalib, Schlemper, Jo, Bai, Wenjia, Dawes, Timothy J. W., Biffi, Carlo, de Marvao, Antonio, Doumoud, Georgia, O'Regan, Declan P., Rueckert, Daniel

“…Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (CMR) image segmentation…”
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Automatic cochlear multimodal 3D image segmentation and analysis using atlas–model-based method by Al-Dhamari, Ibraheem, Helal, Rania, Abdelaziz, Tougan, Waldeck, Stephan, Paulus, Dietrich

“…To propose an automated fast cochlear segmentation, length, and volume estimation method from clinical 3D multimodal images which has a potential role in the choice of cochlear implant type, surgery…”
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A Deep Learning-Based Workflow for Dendritic Spine Segmentation by Isabel Vidaurre-Gallart, Isabel Fernaud-Espinosa, Nicusor Cosmin-Toader, Lidia Talavera-Martínez, Miguel Martin-Abadal, Ruth Benavides-Piccione, Yolanda Gonzalez-Cid, Luis Pastor, Javier DeFelipe, Marcos García-Lorenzo

“…) models have become one of the most commonly used tools in image segmentation, they have not yet been successfully applied to this problem…”
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A new architecture combining convolutional and transformer‐based networks for automatic 3D multi‐organ segmentation on CT images by 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…”
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Automatic Segmentation in 3D CT Images: A Comparative Study of Deep Learning Architectures for the Automatic Segmentation of the Abdominal Aorta by Mavridis, Christos, Vagenas, Theodoros P., Economopoulos, Theodore L., Vezakis, Ioannis, Petropoulou, Ourania, Kakkos, Ioannis, Matsopoulos, George K.

“… Accurate abdominal aorta segmentation is essential in medical imaging, facilitating diagnosis and treatment for a range of cardiovascular diseases…”
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MRCM‐UCTransNet: Automatic and Accurate 3D Tooth Segmentation Network From Cone‐Beam CT Images by Wen, Xinyang, Liu, Zhuoxuan, Chu, Yanbo, Le, Min, Li, Liang

“…‐beam computed tomography (CBCT) images. However, traditional segmentation methods struggle to ensure accuracy…”
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Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound by Orlando, Nathan, Gyacskov, Igor, Gillies, Derek J, Guo, Fumin, Romagnoli, Cesare, D’Souza, David, Cool, Derek W, Hoover, Douglas A, Fenster, Aaron

“… We have previously developed an automatic 3D prostate segmentation algorithm involving deep learning prediction on radially sampled 2D images followed by 3D reconstruction, trained on a large…”
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Seg2Link: an efficient and versatile solution for semi-automatic cell segmentation in 3D image stacks by Wen, Chentao, Matsumoto, Mami, Sawada, Masato, Sawamoto, Kazunobu, Kimura, Koutarou D.

“… To examine cell morphology and connectivity in organs such as the brain, scientists need to conduct cell segmentation, which extracts individual cell regions of different shapes and sizes from a 3D image…”
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Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use by Ryd, Daniel, Nilsson, Amanda, Heiberg, Einar, Hedström, Erik

“…–Altman analysis assessed the agreement between automatic and manual fetal segmentation and the agreement…”
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Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG–PET images by Wang, Fan, Lian, Chunfeng, Vera, Pierre, Ruan, Su

“…Automatically and reliably delineating tumor contours in noisy and blurring PET images is a challenging work in clinical oncology…”
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Automatic segmentation of lung tumors on CT images based on a 2D & 3D hybrid convolutional neural network by Gan, Wutian, Wang, Hao, Gu, Hengle, Duan, Yanhua, Shao, Yan, Chen, Hua, Feng, Aihui, Huang, Ying, Fu, Xiaolong, Ying, Yanchen, Quan, Hong, Xu, Zhiyong

“… The purpose of this paper is to introduce an automatic tumor segmentation network for lung cancer on CT images based on deep learning…”
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Development and Validation of a Deep Learning-Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images by Suh, C H, Shim, W H, Kim, S J, Roh, J H, Lee, J-H, Kim, M-J, Park, S, Jung, W, Sung, J, Jahng, G-H

“… Our aim was to develop and validate a deep learning-based automatic brain segmentation and classification algorithm for the diagnosis of Alzheimer disease using 3D T1-weighted brain MR images…”
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Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm by Coroamă, Diana Mihaela, Dioșan, Laura, Telecan, Teodora, Andras, Iulia, Crișan, Nicolae, Medan, Paul, Andreica, Anca, Caraiani, Cosmin, Lebovici, Andrei, Boca, Bianca, Bálint, Zoltán

“… as any suspect area from the 3D MRI images. We retrospectively assessed all patients diagnosed with bladder cancer, who underwent MRI at our department (n=33…”
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A Light, 3D UNet-based Architecture for Fully Automatic Segmentation of Prostate Lesions from T2-MRI Images by Coroama, Larisa Gabriela, Diosan, Laura, Telecan, Teodora, Andras, Iulia, Crisan, Nicolae, Andreica, Anca, Caraiani, Cosmin, Lebovici, Andrei, Bálint, Zoltán, Boca, Bianca

“… intelligence, which automatically segments the prostate and any suspect area from the 3D MRI images. We assessed retrospective data from all patients diagnosed with PCa…”
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ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection by Yao, Zeyang, Xie, Wen, Zhang, Jiawei, Dong, Yuhao, Qiu, Hailong, Yuan, Haiyun, Jia, Qianjun, Wang, Tianchen, Shi, Yiyi, Zhuang, Jian, Que, Lifeng, Xu, Xiaowei, Huang, Meiping

“… Accurate segmentation of true lumen (TL), false lumen (FL), and false lumen thrombus (FLT) in CTA are crucial for the precise quantification of anatomical features…”
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LabelProp: A semi-automatic segmentation tool for 3D medical images by Decaux, Nathan, Conze, Pierre-Henri, Ropars, Juliette, He, Xinyan, Sheehan, Frances T., Pons, Christelle, Salem, Douraied Ben, Brochard, Sylvain, Rousseau, François

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Automatic segmentation of 3D prostate MR images with iterative localization refinement by Zhou, Wenhui, Tao, Xing, Wei, Zhan, Lin, Lili

“…Accurate segmentation of the prostate gland from Magnetic Resonance (MR) images is still a challenging problem due to large variability and heterogeneity in the prostate appearance…”
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A software tool for automatic classification and segmentation of 2D/3D medical images by Strzelecki, Michal, Szczypinski, Piotr, Materka, Andrzej, Klepaczko, Artur

“… This article presents briefly a MaZda software package, which supports 2D and 3D medical image analysis aiming at quantification of image texture…”
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Small-object-sensitive deep reinforcement learning for fully automatic 3D vessel segmentation in medical images by Zhao, Jingliang, Lin, Xianyang, Zeng, An, Pan, Dan

“… The main challenge faced by fully automatic 3D vessel segmentation comes from the imbalanced proportion of the vessels in medical image, which may lead to lost target…”
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Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches by Zhou, Xiangrong

“… Automatic recognition and segmentation of multiple organs on CT images is a fundamental processing step of computer-aided diagnosis, surgery, and radiation therapy systems, which aim to achieve…”
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