C.K.CHow and T.Kaneko. Automatic boundary detection of the left-ventricle from cineangiograms. Comput. Biomed., 5:388--410, 1972. Home/Search Document Not in Database Summary Related Articles Check |
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On Discretization as a Preprocessing Step For Supervised Learning .. - Ventura (1995) (1 citation) (Correct)
....first order data such as histograms have been used [Doy62] Gon87] Wes78] Whi83] However, these suffer from the usual problems associated with local minima (i.e. Should the data be smoothed If so, how much What constitutes a local minimum , etc. As a result, these methods are often inadequate [Cho72]. As an alternative, statistical approaches that attempt to fit the data to a particular distribution have been proposed [Cho72] However, these methods statistical solutions to overcoming the problems associated with the local minima approaches are also their downfall whenever the data are such ....
....associated with local minima (i.e. Should the data be smoothed If so, how much What constitutes a local minimum , etc. As a result, these methods are often inadequate [Cho72] As an alternative, statistical approaches that attempt to fit the data to a particular distribution have been proposed [Cho72]. However, these methods statistical solutions to overcoming the problems associated with the local minima approaches are also their downfall whenever the data are such that they cannot be fitted to a particular known distribution. Several methods specifically for discretization also exist ....
Chow, C.K. and Kaneko, T., "Automatic Boundary Detection of the Left Ventricle from Cineangiograms", Computers and Biomedical Research, v5, pp. 388-410, 1972.
Genetic Algorithms for Object Localization in a Complex Scene - Punch (1995) (4 citations) (Correct)
....graylevel statistics (e.g. 14] 18] 8] relaxation methods (e.g. 29] 36] 3] and combinations of threshold operators (e.g. 2] 35] Often, however, the global thresholding techniques prove to be insufficient for many types of images. For these, local thresholding methods (e.g. 6] [7] [21] 10] 27] or a multi thresholding method (e.g. 5] 33] 19] have been proposed. Genetic Algorithms have also recently been making their way into the computer vision literature. To date, GAs have been used for parameter tuning (e.g. 17] 1] 4] and feature extraction [31] the actual ....
C. K. Chow and T. Kaneko, "Automatic boundary detection of left ventricle from cineaogiograms," Computat. Biomed. Res., vol. 5, pp. 338--410, 1972.
Efficient Computation of Adaptive Threshold Surfaces for.. - Ilya Blayvas Alfred (Correct)
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C.K.CHow and T.Kaneko. Automatic boundary detection of the left-ventricle from cineangiograms. Comput. Biomed., 5:388--410, 1972.
Fundamentals Of Image Processing - Young, Gerbrands, van Vliet (1995) (6 citations) (Correct)
No context found.
Chow, C.K. and T. Kaneko, Automatic boundary detection of the left ventricle from cineangiograms. Computers and Biomedical Research, 1972. 5: p. 388410. 111
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