Search Results - Fully-automatic segmentation algorithms

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

“…) images a complex task. We propose a novel hybrid automated algorithm in the paper based on random forest to deal with the issues…”
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Fully automatic figure-ground segmentation algorithm based on deep convolutional neural network and GrabCut by Fu, Ruigang, Li, Biao, Gao, Yinghui, Wang, Ping

“… In this study, the authors present a novel algorithm for figure-ground segmentation based on the GrabCut algorithm, which is a common segmentation algorithm that is user interactive…”
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Shape prior generation and geodesic active contour interactive iterating algorithm (SPACIAL): fully automatic segmentation for 3D lumen in intravascular optical coherence tomography images by Gui, Luying, Ma, Jun, Yang, Xiaoping

“…Purpose: Fully automatic lumen segmentation in intravascular optical coherence tomography (OCT…”
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Hepatic vessel segmentation for 3D planning of liver surgery experimental evaluation of a new fully automatic algorithm by Conversano, Francesco, Franchini, Roberto, Demitri, Christian, Massoptier, Laurent, Montagna, Francesco, Maffezzoli, Alfonso, Malvasi, Antonio, Casciaro, Sergio

“…The aim of this study was to identify the optimal parameter configuration of a new algorithm for fully automatic segmentation of hepatic vessels, evaluating its accuracy in view of its use…”
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Fully automatic segmentation of the brain from T1-weighted MRI using Bridge Burner algorithm by Mikheev, Artem, Nevsky, Gregory, Govindan, Siddharth, Grossman, Robert, Rusinek, Henry

“…Purpose To validate Bridge Burner, a new brain segmentation algorithm based on thresholding, connectivity, surface detection, and a new operator of constrained growing…”
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A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI by Avendi, M.R., Kheradvar, Arash, Jafarkhani, Hamid

“… In this work, we employ deep learning algorithms combined with deformable models to develop and evaluate a fully automatic LV segmentation tool from short-axis cardiac MRI datasets…”
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Fully-automatic segmentation of coronary artery using growing algorithm by Cui, Jiali, Guo, Hua, Wang, Huafeng, Chen, Fuqiang, Shu, Lixia, Li, Lihong C

“… In this study, we propose and test a fully automatic coronary artery segmentation method that does not require any human-computer interaction…”
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A new fully automatic and robust algorithm for fast segmentation of liver tissue and tumors from CT scans by Massoptier, Laurent, Casciaro, Sergio

“… No interaction between the user and analysis system is required for initialization since the algorithm is fully automatic…”
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Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using Deep Convolutional Neural Networks by López-Linares, Karen, Aranjuelo, Nerea, Kabongo, Luis, Maclair, Gregory, Lete, Nerea, Ceresa, Mario, García-Familiar, Ainhoa, Macía, Iván, González Ballester, Miguel A.

“…•A DCNN-based fully automatic thrombus detection and segmentation pipeline that is easily translatable to clinical practice is proposed…”
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Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi‐atlas (MA) approach by Lavdas, Ioannis, Glocker, Ben, Kamnitsas, Konstantinos, Rueckert, Daniel, Mair, Henrietta, Sandhu, Amandeep, Taylor, Stuart A., Aboagye, Eric O., Rockall, Andrea G.

“…) in oncology, we have developed, evaluated, and compared three algorithms for fully automatic, multiorgan segmentation in healthy volunteers…”
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Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features by Tian, Hengyi, Wang, Yu, Ji, Yarong, Rahman, Md Mostafizur

“…The fully automatic segmentation of glioma and its subregions is fundamental for computer-aided clinical diagnosis of tumors…”
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Fully Automatic Adaptive Meshing Based Segmentation of the Ventricular System for Augmented Reality Visualization and Navigation by van Doormaal, Jesse A.M., Fick, Tim, Ali, Meedie, Köllen, Mare, van der Kuijp, Vince, van Doormaal, Tristan P.C.

“… To be clinically viable, segmentation algorithms should be fully automatic and easily integrated in existing digital infrastructure…”
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An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography by Burke, Jamie, Engelmann, Justin, Hamid, Charlene, Reid-Schachter, Megan, Pearson, Tom, Pugh, Dan, Dhaun, Neeraj, Storkey, Amos, King, Stuart, MacGillivray, Tom J., Bernabeu, Miguel O., MacCormick, Ian J. C.

“…To develop an open-source, fully automatic deep learning algorithm, DeepGPET, for choroid region segmentation in optical coherence tomography (OCT) data…”
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Fully automatic grayscale image segmentation based fuzzy C-means with firefly mate algorithm by Alomoush, Waleed, Alrosan, Ayat, Alomari, Yazan M., Alomoush, Alaa A., Almomani, Ammar, Alamri, Hammoudeh S.

“…) for each image without a prior knowledge or input by the operator. To solve FCM issues, the paper proposes a new fully automatic segmentation method for grayscale images based on fuzzy c-means with firefly mate algorithm (AUTO-FCM-FMA…”
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A fully-automatic locally adaptive thresholding algorithm for blood vessel segmentation in 3D digital subtraction angiography by Boegel, Marco, Hoelter, Philip, Redel, Thomas, Maier, Andreas, Hornegger, Joachim, Doerfler, Arnd

“… In this work, we propose a fully-automatic, locally adaptive, gradient-based thresholding algorithm…”
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Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms by Woo, Ilsang, Lee, Areum, Jung, Seung Chai, Lee, Hyunna, Kim, Namkug, Cho, Se Jin, Kim, Donghyun, Lee, Jungbin, Sunwoo, Leonard, Kang, Dong-Wha

“…To develop algorithms using convolutional neural networks (CNNs) for automatic segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI…”
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Fully automatic reconstruction of personalized 3D volumes of the proximal femur from 2D X-ray images by Yu, Weimin, Chu, Chengwen, Tannast, Moritz, Zheng, Guoyan

“… An alternative is to reconstruct a 3D patient-specific volume data from 2D X-ray images. Methods In this paper, based on a fully automatic image segmentation algorithm, we propose a new control point-based 2D…”
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Fully Automatic Scar Segmentation for Late Gadolinium Enhancement MRI Images in Left Ventricle with Myocardial Infarction by Wu, Zheng-hong, Sun, Li-ping, Liu, Yun-long, Dong, Dian-dian, Tong, Lv, Deng, Dong-dong, He, Yi, Wang, Hui, Sun, Yi-bo, Dong, Jian-zeng, Xia, Ling

“… The subsequent pipeline of infarct tissue segmentation is fully automatic. The segmentation results with the automatic algorithm proposed in this paper were compared…”
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A fully automatic algorithm for segmentation of the breasts in DCE-MR images by Giannini, V, Vignati, A, Morra, L, Persano, D, Brizzi, D, Carbonaro, L, Bert, A, Sardanelli, F, Regge, D

“… In this paper, we present a fully automatic procedure based on the detection of the upper border of the pectoral muscle…”
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RRM‐TransUNet: Deep‐Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images by 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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