"Provides a current review of computer processing algorithms for the identification of lesions, abnormal masses, cancer, and disease in medical images. Presents useful examples from numerous imaging modalities for increased recognition of anomolies in MRI, CT, SPECT and digital/film X-Ray."
Image-Processing Techniques for Tumor Detection
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Inside This Book
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First Sentence:
The term "tumor," which literally means swelling, can be applied to any pathological process that produces a lump or mass in the body. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
tumor detection task, displayable intensities, interfering tissues, displayable intensity, contextual region, median dwell, neighborhood contrast enhancement, nonlinear enhancement function, missed nodules, ground truth region, lung nodule detection, diagnostic confidence levels, feature space method, digitized mammograms, digital database for screening mammography, feature space representation, bilateral subtraction, principal component images, digital mammography, digital chest radiography, blood pool activity, linear observer, computerized detection, contrast amplification, external fiducials Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Invest Radiol, Med Phys, Trans Med Imag, Elsevier Science, Acad Radiol, Comput Assist Tomogr, International Workshop, Kluwer Academic Publishers, San Diego, International Conference, John Wiley, Magn Reson Med, Academic Press, Feature Set, Nucl Med, False Positive Fraction, Information Processing, Magn Reson Imag, The Netherlands, United States, University of North Carolina, Englewood Cliffs, Perception Psychophysics, Phys Med Biol New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
The term "tumor," which literally means swelling, can be applied to any pathological process that produces a lump or mass in the body. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
tumor detection task, displayable intensities, interfering tissues, displayable intensity, contextual region, median dwell, neighborhood contrast enhancement, nonlinear enhancement function, missed nodules, ground truth region, lung nodule detection, diagnostic confidence levels, feature space method, digitized mammograms, digital database for screening mammography, feature space representation, bilateral subtraction, principal component images, digital mammography, digital chest radiography, blood pool activity, linear observer, computerized detection, contrast amplification, external fiducials Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Invest Radiol, Med Phys, Trans Med Imag, Elsevier Science, Acad Radiol, Comput Assist Tomogr, International Workshop, Kluwer Academic Publishers, San Diego, International Conference, John Wiley, Magn Reson Med, Academic Press, Feature Set, Nucl Med, False Positive Fraction, Information Processing, Magn Reson Imag, The Netherlands, United States, University of North Carolina, Englewood Cliffs, Perception Psychophysics, Phys Med Biol New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
This book cites 50
books:
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1
book
cites this book:
- Computer Assisted Radiology: Car '85, Proceeding of the International SYmposium (English and German Edition) by H. U. Lemke on 7 pages
- Digital Mammography by Etta D. Pisano on 4 pages
- Digital Image Processing (2nd Edition) by Rafael C. Gonzalez on page 241, page 343, and page 345
- Computer Graphics by Acm Press in Back Matter (1), and Back Matter (2)
- Computer Vision by Dana H. Ballard on page 267, and page 292
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