Výsledky vyhledávání - "Fully-automatic segmentation algorithms"

A fully automatic segmentation algorithm for CT lung images based on random forest Autor Liu, Caixia, Zhao, Ruibin, Pang, Mingyong

“…Purpose Several negative factors, such as juxta‐pleural nodules, pulmonary vessels, and image noise, make accurately segmenting lungs from computed tomography…”
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RRM‐TransUNet: Deep‐Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images Autor Wang, Yulan, Liu, Weimin, Yu, Peng, Huang, Xin, Pan, Junjun

“… Early detection requires precise segmentation results. Fully automatic segmentation algorithms cannot integrate clinical expertise and correct output errors…”
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ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images Autor Yushkevich, Paul A., Yang Gao, Gerig, Guido

“… In applications where fully automatic segmentation algorithms are unavailable or fail to perform at desired levels of accuracy, semi-automatic segmentation can be a time-saving alternative to manual…”
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AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks Autor Radl, Lukas, Jin, Yuan, Pepe, Antonio, Li, Jianning, Gsaxner, Christina, Zhao, Fen-hua, Egger, Jan

“…In this article, we present a multicenter aortic vessel tree database collection, containing 56 aortas and their branches. The datasets have been acquired with…”
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Systematic Review of Tumor Segmentation Strategies for Bone Metastases Autor Paranavithana, Iromi R., Stirling, David, Ros, Montserrat, Field, Matthew

“…Purpose: To investigate the segmentation approaches for bone metastases in differentiating benign from malignant bone lesions and characterizing malignant bone…”
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Design and Evaluation of Interactive Proofreading Tools for Connectomics Autor Haehn, Daniel, Knowles-Barley, Seymour, Roberts, Mike, Beyer, Johanna, Kasthuri, Narayanan, Lichtman, Jeff W., Pfister, Hanspeter

“… In connectomics, electron microscopy data is acquired at nanometer-scale resolution and results in very large image volumes of brain tissue that require fully automatic segmentation algorithms…”
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Salient Clustering for View-dependent Multiresolution Rendering Autor Barni, R., Comba, J., Varshney, A.

“…Perceptual information is quickly gaining importance in mesh representation, analysis and rendering. User studies, eye tracking and other techniques are able…”
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Computational Methods for Segmentation of Multi-Modal Multi-Dimensional Cardiac Images Autor Dangi, Shusil

“…Segmentation of the heart structures helps compute the cardiac contractile function quantified via the systolic and diastolic volumes, ejection fraction, and…”
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Beyond Performance Metrics: Automatic Deep Learning Retinal OCT Analysis Reproduces Clinical Trial Outcome Autor Loo, Jessica, Clemons, Traci E, Chew, Emily Y, Friedlander, Martin, Jaffe, Glenn J, Farsiu, Sina

“…To validate the efficacy of a fully automatic, deep learning-based segmentation algorithm beyond conventional performance metrics by measuring the primary…”
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Automated segmentation of visceral and subcutaneous (deep and superficial) adipose tissues in normal and overweight men Autor Sadananthan, Suresh Anand, Prakash, Bhanu, Leow, Melvin Khee-Shing, Khoo, Chin Meng, Chou, Hong, Venkataraman, Kavita, Khoo, Eric Y.H., Lee, Yung Seng, Gluckman, Peter D., Tai, E. Shyong, Velan, S. Sendhil

“…) subjects at 3T using a two‐point Dixon sequence. A fully automatic segmentation algorithm was developed to segment the fat depots…”
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Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints Autor Huang, Kuan, Zhang, Yingtao, Cheng, H.D., Xing, Ping, Zhang, Boyu

“… Thus, developing accurate detection system is a challenging task. In this paper, we propose a fully automatic segmentation algorithm consisting of two parts…”
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Quantification of Abdominal Fat Depots in Rats and Mice during Obesity and Weight Loss Interventions Autor KN, Bhanu Prakash, Gopalan, Venkatesh, Lee, Swee Shean, Velan, S. Sendhil

“…Obesity is a leading healthcare issue contributing to metabolic diseases. There is a great interest in non-invasive approaches for quantitating abdominal fat…”
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Model-based automatic segmentation algorithm accurately assesses the whole cardiac volumetric parameters in patients with cardiac CT angiography: a validation study for evaluating the accuracy of the workstation software and establishing the reference values Autor Mao, Song Shou, Li, Dong, Vembar, Mani, Gao, Yanlin, Luo, Yanting, Lam, Franklin, Syed, Younus Saleem, Liu, Christine, Woo, Kelly, Flores, Fred, Budoff, Matthew J

“…The cardiac chamber volumes and functions can be assessed manually and automatically using the current computed tomography (CT) workstation system. We aimed to…”
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A Robust Method for Extraction and Automatic Segmentation of Brain Images Autor Kovacevic, N., Lobaugh, N.J., Bronskill, M.J., Levine, B., Feinstein, A., Black, S.E.

“…) is accomplished on a T1-weighted image after applying the brain mask. The fully automatic segmentation algorithm is histogram-based and uses the Expectation Maximization algorithm to model a four-Gaussian mixture for both global and local histograms…”
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Application of Artificial Intelligence Nuclear Medicine Automated Images Based on Deep Learning in Tumor Diagnosis Autor Sun, Jian, Yuan, Xin

“…In order to correctly obtain normal tissues and organs and tumor lesions, the research on multimodal medical image segmentation based on deep learning fully automatic segmentation algorithm is more meaningful…”
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Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging Autor Shahedi, Maysam, Cool, Derek W., Bauman, Glenn S., Bastian-Jordan, Matthew, Fenster, Aaron, Ward, Aaron D.

“…) is a laborious and time-consuming task that is subject to inter-observer variability. In this study, we developed a fully automatic segmentation algorithm for T2-weighted…”
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Automated seeding for ultrasound skin lesion segmentation Autor Marosán, Péter, Szalai, Klára, Csabai, Domonkos, Csány, Gergely, Horváth, András, Gyöngy, Miklós

“…The segmentation of cancer-suspicious skin lesions using ultrasound may help their differential diagnosis and treatment planning. Active contour models (ACM)…”
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IFAS: improved fully automatic segmentation convolutional neural network model along with morphological segmentation for brain tumor detection Autor Kulshreshtha, Akanksha, Nagpal, Arpita

“… In IFAS, morphological operation along with a fully- automatic segmentation algorithm on brain MRI images is applied…”
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Automatic Segmentation Algorithm of Ultrasound Heart Image Based on Convolutional Neural Network and Image Saliency Autor Liu, Hui, Chu, Wen, Wang, Hua

“… in the slice, and the high similarity between adjacent slices in the CT image sequence. Fully automatic segmentation algorithm and 3D visual reconstruction is the segmented heart image…”
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Efficient automatic 2D/3D registration of cardiac ultrasound and CT images Autor Scott, Katy, Stuart, Duncan, Peoples, Jacob J., Bisleri, Gianluigi, Ellis, Randy E.

“… We propose a fully automatic segmentation algorithm for the boundaries of cardiac chambers in intraoperative TEE ultrasound using a generic heart model…”
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