Digital Processing of Biomedical Images
Until recently digital processing of biomedical images was conducted solely in the research laboratories of the universities and industry. However, with the advent of computerized tomography in 1972 and the computerized white blood cell differential count in 1974, enormous changes have suddenly occurred. Digital image processing in biomedicine has now become the most active sector in the digital image processing field. Processing rates have reached the level of one trillion picture elements per year in the United States alone and are expected to be ten trillion per year in 1980. This enormous volume of activity has stimulated further research in biomedical image processing in the last two years with the result that important inroads have been made in applications in radiology, oncology, and ophthalmology. Although much significant work in this field is taking place in Europe, it is in the United States and Japan that the level of activity is highest.
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Digital Processing of Biomedical Images
Until recently digital processing of biomedical images was conducted solely in the research laboratories of the universities and industry. However, with the advent of computerized tomography in 1972 and the computerized white blood cell differential count in 1974, enormous changes have suddenly occurred. Digital image processing in biomedicine has now become the most active sector in the digital image processing field. Processing rates have reached the level of one trillion picture elements per year in the United States alone and are expected to be ten trillion per year in 1980. This enormous volume of activity has stimulated further research in biomedical image processing in the last two years with the result that important inroads have been made in applications in radiology, oncology, and ophthalmology. Although much significant work in this field is taking place in Europe, it is in the United States and Japan that the level of activity is highest.
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Digital Processing of Biomedical Images

Digital Processing of Biomedical Images

Digital Processing of Biomedical Images

Digital Processing of Biomedical Images

Overview

Until recently digital processing of biomedical images was conducted solely in the research laboratories of the universities and industry. However, with the advent of computerized tomography in 1972 and the computerized white blood cell differential count in 1974, enormous changes have suddenly occurred. Digital image processing in biomedicine has now become the most active sector in the digital image processing field. Processing rates have reached the level of one trillion picture elements per year in the United States alone and are expected to be ten trillion per year in 1980. This enormous volume of activity has stimulated further research in biomedical image processing in the last two years with the result that important inroads have been made in applications in radiology, oncology, and ophthalmology. Although much significant work in this field is taking place in Europe, it is in the United States and Japan that the level of activity is highest.

Product Details

ISBN-13: 9781468407716
Publisher: Springer US
Publication date: 02/18/2012
Edition description: Softcover reprint of the original 1st ed. 1976
Pages: 442
Product dimensions: 7.01(w) x 10.00(h) x 0.04(d)

Table of Contents

Digital Image Processing in the United States.- Digital Image Processing in Japan.- An Automated Microscope for Digital Image Processing — Part I: Hardware.- An Automated Microscope for Digital Image Processing — Part II: Software.- Clinical Use of Automated Microscopes for Cell Analysis.- Multiband Microscanning Sensor.- Computer Synthesis of High Resolution Electron Micrographs.- Computer Processing of Electron Micrographs of DNA.- Significance Probability Mappings and Automated Interpretation of Complex Pictorial Scenes.- Intracavitary Beta-Ray Scanner and Image Processing for Localization of Early Uterine Cancer.- New Vistas in Medical Reconstruction Imagery.- Digital Image Processing for Medical Diagnoses Using Gamma Radionuclides and Heavy Ions from Cyclotrons.- Processing of RI-Angiocardiographic Images.- Bioimage Synthesis and Analysis from X-Ray, Gamma, Optical and Ultrasound Energy.- A Pap Smear Prescreening System: CYBEST.- Automatic Analysis and Interpretation of Cell Micrographs.- Multi-Layer Tomography Based on Three Stationary X-Ray Images.- Texture Analysis in Diagnostic Radiology.- Automated Diagnosis of the Congenital Dislocation of the Hip-Joint.- Boundary Detection in Medical Radiographs.- Feature Extraction and Quantitative Diagnosis of Gastric Roentgenograms.- Computer Processing of Chest X-Ray Images.- MINISCR-V2 — The Software System for Automated Interpretation of Chest Photofluorograms.- Automatic Recognition of Color Fundus Photographs.- Image Processing in Television Ophthalmoscopy.- Attendees.- Author Index.
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