Image Processing in Radiology 作者: Bartolozzi, C. 编 出版社: Springer-Verlag Berlin and Heidelberg GmbH & Co. K副标题: Current Applications (Medical Radiology :Diagnostic Imaging)出版年: 2007-05页数: 434定价: GBP 123.00装帧: Hardcover
(2008). Virtual Endoscopy of the Paranasal Sinuses, In: Image Processing in Radiology, Neri, E., Caramella, D., Bartolozzi, C., (151-171), Springer Berlin Heidelberg, 978-3-540-49830-8, Berlin Heidelberg.Neri, E., Caramella, D., Bartolozzi, C.: Image processing in radiology. In:...
Image Processing in Radiology: Current Applications The purpose of this book is to provide extensive information on the fundamental technical aspects of present-day advanced image processing and its use in c... A Matamoros - 《Journal of Nuclear Medicine》 被引量: 170发表: 2008年 Image Processing...
Image Processing in Computed Radiography Vuylsteke, P., Schoeters, E.: Image Processing in Computed Radiography. In: Proc. of International Symposium on Computerized Tomography for Industrial Applications and Image Processing in Radiology, Berlin, Germany (1999)... P Vuylsteke,D Ph.,E Schoeters,.....
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doi:10.1016/j.jofri.2019.05.001LuizDepartmentEugenioDepartmentNigroDepartmentMazzilliDepartmentRodolfoDepartmentFranciscoDepartmentHaltenhoffDepartmentMelaniDepartmentCesarDepartmentAngeloDepartmentJournal of Forensic Radiology and Imaging on SciVerse ScienceDirect
The past five years of progress in image processing technology related to radiological applications is reviewed. The following topics are include: image acquisition (computed radiography, X-ray film digitizer); 512, 1024 and 2048 image processor technology; image compression (block quantization, full-...
A Chambolle - Image Processing, Icip-94, IEEE International Conference 被引量: 216发表: 1994年 Image Processing in Radiology: Current Applications The purpose of this book is to provide extensive information on the fundamental technical aspects of present-day advanced image processing and its use in...
A collection of deep learning architectures and applications ported to the R language and tools for basic medical image processing. Based on keras and tensorflow with cross-compatibility with our python analog ANTsPyNet.A large collection of common deep learning architectures for medical imaging that ...
The conference where the latest information is presented by leading researchers in image processing, physics, computer-aided diagnosis, perception, image-guided procedures, biomedical applications, ultrasound, informatics, radiology and digital pathology, with an increased focus on fast emerging areas like ...