Abstract
Many medical diagnostic methods depend upon the examination of images related to possible pathological processes going on in the patient. Examples are ordinary X-rays, fluoroscopic angiography, microscopic histological sections, computerised tomographs, electro-encephalographic recordings, ocular motor-reflex patterns. Automatic computer methods can be used to assist in the evaluation of such images by applying one or more of the following procedures: recording, displaying in a controllable manner and enhancing the images, automatically extracting information from them.
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References
Ledley, R. S., Kulkarni, Y. G., Park, C. M., Shiu, M. R. and Rotolo, L. S. (1978a). TEXAC: a powerful new picture pattern recognition computer. Proc. IEEE Comput. Soc. Conf. Pattern Recognition and Image Processing, Chicago, pp. 396–401.
Ledley, R. S., Kulkarni, Y. G., Park, C. M., Shiu, M. R. and Rotolo, L. S. (1978b). TEXAC/PICTOL: a texture analysis computer and its special purpose language. Proc. Assoc. Comput Mach., Washington, pp. 698–703.
Ledley, R. S., Kulkarni, Y. G., Park, C. M., Shiu, M. R. and Rotolo, L. S. (1978c). Whole picture analysis with TEXAC. Assoc. Comput. Mach. 17th Ann. Tech. Symp., Gaithersburg, pp. 133–138.
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© 1982 Bioengineering Unit, University of Strathclyde
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Ledley, R.S., Rotolo, L.S., Golab, T.J. (1982). Digital Image Processing in Medicine. In: Paul, J.P., Jordan, M.M., Ferguson-Pell, M.W., Andrews, B.J. (eds) Computing in Medicine. Strathclyde Bioengineering Seminars. Palgrave, London. https://doi.org/10.1007/978-1-349-06077-1_26
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DOI: https://doi.org/10.1007/978-1-349-06077-1_26
Publisher Name: Palgrave, London
Print ISBN: 978-1-349-06079-5
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