Shift-invariant artificial neural network for computerized detec

Details Shift-invariant artificial neural network for computerized detec Shift-invariant artificial neural network for computerized detec

1995-11-22

1998-03-31

Bahr, Jennifer

Surgery

Truss

Pad

1286531, A61B 500, A61B 505

Patent

active

057326975

ABSTRACT:
A computerized method and system using a shift-invariant artificial neural network (SIANN) for the quantitative analysis of image data. A series of digitized medical images are used to train an artificial neural network to differentiate between diseased and normal tissue. The sum of the weights in groups between layers is constrained to be substantially zero so as to avoid saturation of layers which would otherwise be saturated by low frequency background noise. The method and system also include utilizing training-free zones to exclude from training the center portions of microcalcifications in the digitized images. The method and system further include rule-based selection criteria for providing a more accurate diagnosis.

REFERENCES:
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patent: 5463548 (1995-10-01), Asada et al.
patent: 5491627 (1996-02-01), Zhang et al.
Zhang et al., "Computerized detection of clustered microcalcifications in digital mammograms using shift-invariant artificial neural network" Medical Physics, vol. 21, No. 4, pp. 517-524, Apr. 1994.
Chan et al., "Computer-aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural network", Medical Physics vol. 22, No. 10, pp. 1555-1567, Oct. 1995.
Wu et al., "Application of artificial neural networks in mammography for the diagnosis of breast cancer", SPIE vol. 1778 Imaging Technologies and Applications, pp. 19-27, 1992.
Wu et al., "Computerized detection of clustered microcalcifications in digital mammograms: Applications of artificial neural networks", Medical Physics, vol. 19, No. 3. pp. 555-560, Jun. 1992.

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