Search Results - "3D Image Segmentation"

A Fully Automated 3D In-Vivo Delineation and Shape Parameterization of the Human Lamina Cribrosa in Optical Coherence Tomography by Syga, Piotr, Sieluzycki, Cezary, Krzyzanowska-Berkowska, Patrycja, Iskander, D. Robert

“…] using the least-squares method. Datasets from a total of 255 subjects from three groups were analyzed…”
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3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models by Kurugol, Sila, Dy, Jennifer G, Sharp, Gregory C, Brooks, Dana H

“… To ease the training data requirement and allow maximum inter-subject flexibility, we built a simple algorithm based on normalization to anatomical reference points to match a training set…”
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Age estimation using pulp/enamel volume ratio of impacted mandibular third molars measured on CBCT images in a northern Chinese population by Zhang, Zhi-yong, Yan, Chun-xia, Min, Qiao-mei, Li, Shao-qing, Yang, Jing-si, Guo, Yu-cheng, Jin, Wen-fan, Li, Lan-jiang, Xing, Pan-Fen, Li, Jun

“…) of impacted mandibular third molars (IMTMs) by using cone-beam computed tomography (CBCT) images and an improved 3D image segmentation technique…”
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Virtual Laryngoscopy: a Noninvasive Tool for the Assessment of Laryngeal Tumor Extent by Yan, Yuling, Luo, Shouhua, McWhorter, Andrew

“…) is used for 3D image segmentation, reconstruction and surface rendering of laryngeal anatomical structures. Results…”
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Interactive segmentation based on the live wire for 3D CT chest image analysis by Lu, Kongkuo, Higgins, William E.

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Segmentation of 3D Dental Images Using Deep Learning by Boudraa, Omar

“…3D image segmentation is a recent and crucial step in many medical analysis and recognition schemes…”
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Multidimensional image segmentation and pulmonary lymph-node analysis by Lu, Kongkuo

“…Lung cancer remains the leading cause of cancer death in the United States and worldwide. Central to the lung cancer diagnosis and staging process is the…”
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A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images by Chen, Zhao, Keyak, Joyce H, Tang, Jinshan, Kaneko, Tadashi S, Khosla, Sundeep, Amin, Shreyasee, Atkinson, Elizabeth J, Lan-Juan, Zhao, Serou, Michael J, Zhang, Chaoyang, Shen, Hui, Hong-Wen, Deng, Zhou, Weihua

“… Methods and Materials: We developed a 3D image segmentation method based on V-Net, an end-to-end fully convolutional neural network (CNN…”
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