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008 150903s2014 xxu| o |||| 0|eng d
020 _a9781461472452
_99781461472452
024 7 _a10.1007/9781461472452
_2doi
035 _avtls000342149
039 9 _a201509030848
_bVLOAD
_c201405050239
_dVLOAD
_y201402061119
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ342
100 1 _aSuzuki, Kenji.
_eeditor.
_9321204
245 1 0 _aComputational Intelligence in Biomedical Imaging /
_cedited by Kenji Suzuki.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2014.
300 _axv, 406 páginas 209 ilustraciones, 114 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aBrain Disease Classification and Progression using Machine Learning Techniques -- The Role of Content-Based Image Retrieval in Mammography CAD -- A Novel Image-based Approach for Early Detection of Prostate Cancer using DCE-MRI -- Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning -- Computational Anatomy in the Abdomen: Automated Multi-Organ and Tumor Analysis from Computed Tomography -- Liver Volumetry in MRI by using Fast Marching Algorithm Coupled with 3D Geodesic Active Contour Segmentation -- Computer-aided Image Analysis for Vertebral Anatomy on X-ray CT Images -- Robust Segmentation of Challenging Lungs in CT using Multi-Stage Learning and Level Set Optimization -- Bone Suppression in Chest Radiographs by Means of Anatomically Specific Multiple Massive-Training ANNs Combined with Total Variation Minimization Smoothing and Consistency Processing -- Image Segmentation for Connectomics using Machine Learning -- Image Analysis Techniques for the Quantification of Brain Tumors on MR Images -- Respiratory and Cardiac Function Analysis on the Basis of Dynamic Chest Radiography -- Adaptive Noise Reduction and Edge Enhancement in Medical Images by using ICA -- Subtraction Techniques for CT and DSA and Automated Detection of Lung Nodules in 3D CT.
520 _aThis book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781461472445
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-7245-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c290468
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