(WO/2007/130542) CLASSIFICATION OF CANDIDATES USING THEIR CORRELATION INFORMATION IN COMPUTER AIDED DIAGNOSIS

(WO/2007/130542) CLASSIFICATION OF CANDIDATES USING THEIR CORRELATION INFORMATION IN COMPUTER AIDED DIAGNOSIS

Latest bibliographic data on file with the International Bureau
Pub. No.:  WO/2007/130542   International Application No.:  PCT/US2007/010778
Publication Date:15.11.2007 International Filing Date:03.05.2007
IPC: G06T 7/00 (2006.01)
Applicants:SIEMENS MEDICAL SOLUTIONS USA, INC. [US/US]; 51 Valley Stream Parkway, Malvern, PA 19355 (US) (All Except US).
FUNG, Glenn [VE/US]; (US) (US Only).
KRISHNAPURAM, Balaji [IN/US]; (US) (US Only).
VURAL, Volkan [TR/US]; (US) (US Only).
RAO, R. Bharat [IN/US]; (US) (US Only).
Inventors:FUNG, Glenn; (US).
KRISHNAPURAM, Balaji; (US).
VURAL, Volkan; (US).
RAO, R. Bharat; (US).
Agent:MONTGOMERY, Francis G. et al.; Siemens Corporation- Intellectual Property Dept., 170 Wood Avenue South, Iselin, NJ 08830 (US) .
Priority Data:
60/797,465 03.05.2006 US
11/742,781 01.05.2007 US
Title: CLASSIFICATION OF CANDIDATES USING THEIR CORRELATION INFORMATION IN COMPUTER AIDED DIAGNOSIS
Abstract: A method and system correlate candidate information and provide batch classification of a number of related candidates. The batch of candidates may be identified from a single data set. There may be internal correlations and/or differences among the candidates. The candidates may be classified taking into consideration the internal correlations and/or differences. The locations (104) and descriptive features (106) of a batch of candidates may be determined. In turn, the locations and/or descriptive features determined may be used to enhance the accuracy of the classification of some or all of the candidates within the batch (108). In one embodiment, the single data set analyzed is associated with an internal image of patient (102) and the distance between candidates is accounted for. Two different algorithms may each simultaneously classify all of the samples within a batch, one being based upon probabilistic analysis and the other upon a mathematical programming approach. Alternate algorithms may be used.
Designated States: AE, AG, AL, AM, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CN, CO, CR, CU, CZ, DE, DK, DM, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PG, PH, PL, PT, RO, RS, RU, SC, SD, SE, SG, SK, SL, SM, SV, SY, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW.
African Regional Intellectual Property Org. (ARIPO) (BW, GH, GM, KE, LS, MW, MZ, NA, SD, SL, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (EAPO) (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM)
European Patent Office (EPO) (AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HU, IE, IS, IT, LT, LU, LV, MC, MT, NL, PL, PT, RO, SE, SI, SK, TR)
African Intellectual Property Organization (OAPI) (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, ML, MR, NE, SN, TD, TG).
Publication Language:English (EN)
Filing Language:English (EN)

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