Boots – shoes – and leggings
Patent
1993-05-13
1996-02-13
Harvey, Jack B.
Boots, shoes, and leggings
128664, A61B 600
Patent
active
054916275
ABSTRACT:
A method and system for the detection of microcalcifications in digital mammograms. Digital mammograms are obtained and regions-of-interest (ROIs) are selected therefrom which contain suspected microcalcifications, either individual or clustered microcalcifications. The suspect ROIs are background-trend corrected, followed by Fourier transformation and power spectrum calculation to perform detection in the frequency domain. Detection can also be carried out in the spatial domain by omitting the Fourier transformation and power spectrum calculation. The ROI is then scaled for input into a neural network trained to detect microcalcifications. The neural network outputs ROIs with detected microcalcifications. The method and system can also include normalizing the background-trend corrected ROIs and imputing the normalized ROI to a shift-invariant neural network trained to detect microcalcifications. The output ROI of the shift-invariant neural network is thresholded to remove additional false positive detections, and then the thresholded ROI undergoes a cluster detection to detect clustered microcalcifications. Feature extraction techniques can be applied to the remaining ROI to remove additional false positive detections.
REFERENCES:
patent: 4839807 (1989-06-01), Doi et al.
patent: 4841555 (1989-06-01), Doi et al.
patent: 4851984 (1989-07-01), Doi et al.
patent: 4875165 (1989-10-01), Fencil et al.
patent: 4907156 (1990-03-01), Doi et al.
patent: 4918534 (1990-04-01), Lam et al.
patent: 5072384 (1991-12-01), Doi et al.
patent: 5133020 (1992-07-01), Giger et al.
patent: 5150292 (1992-09-01), Hoffmann et al.
patent: 5224177 (1993-06-01), Doi et al.
Robert M. Nishikawa et al., "Computer-Aided Detection of Clustered Microcalcifications On Digital Mammograms", Submitted to Med. & Biological Engineering & Computing, Apr. 9, 1992.
Zhang et al., "Parallel Distributed Processing Model with Local Space-invariant Interconnections and its Opticals Architecture" Appl. Opt. 29, 4790-7 (1990).
Zhang et al., "Image Processing of Human Corneal Endothelium Based on a Learning Network", Appl. Opt. 30, 4211-7 (1991).
Zhang et al., "Error Back Propagation with Minimum-entropy Weights: A technique for Better Generalization of 2-D Shift-invariant NNS," Proc. Intl. Joint Conf. Neural Networks, Seatle 1991, I-212 through I-215.
"Automated Detection of Microcalcifications on Mammograms: New Feature-Extraction Techniques with Morphologic Filters," Robert M. Nishikawa, et al., 76th Scientific Assembly and Annual Meeting of RSNA, Radiology 177 (P), 288 (1990) (abstract).
"Application of Neural Networks to Mammographic Diagnosis of Breast Cancer," Yuzheng Wu, et al., 76th Scientific Assembly and Annual Meeting of RSNA, Radiology 177 (P), 149 (1990) (abstract).
"Computerized Detection of Clustered Microcalcifications in Digital Mammograms: Applications of Artificial Neural Networks," Yuzheng Wu, et al., Med. Phys. 19 (3), May/Jun. 1992, pp. 555-560.
"Improvement in Radiologists' Detection of Clustered Microcalcifications on Mammograms: The Potential of Computer-Aided Diagnosis," Heang-Ping Chan, et al., INVESTIGATIVE RADIOLOGY, vol. 25, No. 10, Oct. 1990, pp. 1102-1110.
"Image Feature Analysis and Computer-Aided Diagnosis in Digital Radiography: Detection and Characterization of Interstitial Lung Disease in Digital Chest Radiographs," Sigehiko Katsuragawa, et al., Med. Phys. 15 (3), May/Jun. 1988, pp. 311-319.
Doi Kunio
Zhang Wei
ARCH Development Corporation
Chung-Trans Xuong M.
Harvey Jack B.
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