Developments in Medical Image Processing and Computational Vision
This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013 – IV International ECCOMAS Thematic Co...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | Lecture Notes in Computational Vision and Biomechanics,
19 |
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| Online Access: | https://doi.org/10.1007/978-3-319-13407-9 |
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| 245 | 1 | 0 | |a Developments in Medical Image Processing and Computational Vision |h [electronic resource] / |c edited by João Manuel R. S. Tavares, Renato Natal Jorge. |
| 250 | |a 1st ed. 2015. | ||
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| 300 | |a XVIII, 395 p. 232 illus., 174 illus. in color. |b online resource. | ||
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| 490 | 1 | |a Lecture Notes in Computational Vision and Biomechanics, |x 2212-9391 ; |v 19 | |
| 505 | 0 | |a Preface -- On the evaluation of automated MRI brain segmentations: technical and conceptual tools, by Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto -- Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography, by J. Odstrcilik, R. Kolar, R.P. Tornow, A. Budai, J. Jan, P. Mackova, M. Vodakova -- Continuum mechanics meets echocardiographic imaging: investigation on the principal strain lines in human left ventricle, by A. Evangelista, S. Gabriele, P. Nardinocchi, P. Piras, P.E. Puddu, L. Teresi, C. Torromeo, V. Varano -- A GPU accelerated algorithm for blood detection in wireless capsule endoscopy images, by Sunil Kumar, Isabel N. Figueiredo, Carlos Graça, Gabriel Falcão -- Automated image mining in fMRI Reports: a meta-research study, by N. Gonçalves, G. Vranou, R. Vigário -- Visual pattern recognition framework based on the best rank tensor decomposition, by B. Cyganek -- Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method, by B. Taboada, F. C. Monteiro, R. Lima -- A 3D computed tomography based tool for orthopedic surgery planning, by João Ribeiro, Victor Alves, Sara Silva, Jaime Campos -- Preoperative planning of surgical treatment with the use of 3D visualization and finite element method, by Wolański Wojciech, Gzik-Zroska Bożena, Kawlewska Edyta, Gzik Marek, Dzielicki Józef, Larysz Dawid, Rudnik Adam -- Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for a structural analysis with FEA, by João Paulo O. Freitas, Edson A. Capello de Sousa, Cesar R. Foschini, Rogerio R. Santos, Sheila C. Rahal -- Tortuosity influence on the trabecular bone elasticity and mechanical competence, by Waldir Leite Roque, Angel Alberich-Bayarri -- Influence of beam hardening artifact in bone interface contact evaluation by 3D X-ray microtomography, by I. Lima, M. Marquezan, M. M. G. Souza, E. F. Sant’Anna, R. T. Lopes -- Anisotropy estimation of trabecular bone in gray-scale: comparison between cone beam and micro computed tomography data, by Rodrigo Moreno, Magnus Borga, Eva Klintström, Torkel Brismar, Örjan Smedby -- Fractured bone identification from CT images, fragment separation and fracture zone detection, by Félix Paulano, Juan J. Jiménez, Rubén Pulido -- On evolutionary integral models for image restoration, by E. Cuesta, A. Durán, M. Kirane -- Colour image quantisation using KM and KHM clustering techniques with outlier-based initialization, by Henryk Palus, Mariusz Frackiewicz -- A study of a firefly meta-heuristics for multithreshold image segmentation, by H. Erdmann, G. Wachs-Lopes, C. Gallão, M. P. Ribeiro, P. S. Rodrigues -- Visual-inertial 2D feature tracking based on an affine photometric model, by Dominik Aufderheide, Gerard Edwards and Werner Krybus -- Inferring heading direction from silhouettes, by Amina Bensebaa, Slimane Larabi, Neil M. Robertson -- A fast and accurate algorithm for detecting and tracking moving hand gestures, by Walter C. S. S. Simões, Ricardo da S. Barboza, Vicente F. de Lucena Jr., Rafael D. Lins -- Hand gesture recognition system based in computer vision and machine learning, by Paulo Trigueiros, Fernando Ribeiro, Luís Paulo Reis -- 3D Scanning using RGBD imaging devices: a survey, by Eduardo E. Hitomi, Jorge V. L. Silva, Guilherme C. S. Ruppert. | |
| 520 | |a This book presents novel and advanced topics in Medical Image Processing and Computational Vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in VipIMAGE 2013 – IV International ECCOMAS Thematic Conference on Computational Vision and Medical Image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013. The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimation, and texture analysis. Different applications are addressed and described throughout the book, comprising: biomechanical studies, bio-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures detection and recognition, human motion analysis, human-computer interaction, image and video understanding, image processing, image segmentation, object and scene reconstruction, object recognition and tracking, remote robot control, and surgery planning. This volume is of use to researchers, students, practitioners and manufacturers from several multidisciplinary fields, such as artificial intelligence, bioengineering, biology, biomechanics, computational mechanics, computational vision, computer graphics, computer science, computer vision, human motion, imagiology, machine learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics. | ||
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Radiology. | |
| 650 | 0 | |a Optical data processing. | |
| 650 | 0 | |a Medicine. | |
| 650 | 0 | |a Applied mathematics. | |
| 650 | 0 | |a Engineering mathematics. | |
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| 650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I22005 |
| 650 | 2 | 4 | |a Biomedicine, general. |0 https://scigraph.springernature.com/ontologies/product-market-codes/B0000X |
| 650 | 2 | 4 | |a Applications of Mathematics. |0 https://scigraph.springernature.com/ontologies/product-market-codes/M13003 |
| 700 | 1 | |a Tavares, João Manuel R. S. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Natal Jorge, Renato. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 830 | 0 | |a Lecture Notes in Computational Vision and Biomechanics, |x 2212-9391 ; |v 19 | |
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