{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:33:16Z","timestamp":1791505996412,"version":"4.3.4"},"reference-count":15,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2001,8,9]],"date-time":"2001-08-09T00:00:00Z","timestamp":997315200000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2001,8]]},"abstract":"<jats:p>In this paper we present a computationally efficient segmentation algorithm for breast masses on sonography that is based on maximizing a utility function over partition margins defined through gray\u2010value thresholding of a preprocessed image. The performance of the segmentation algorithm is evaluated on a database of 400 cases in two ways. Of the 400 cases, 124 were complex cysts, 182 were benign solid lesions, and 94 were malignant lesions. In the first evaluation, the computer\u2010delineated margins were compared to manually delineated margins. At an overlap threshold of 0.40, the segmentation algorithm correctly delineated 94% of the lesions. In the second evaluation, the performance of our computer\u2010aided diagnosis method on the computer\u2010delineated margins was compared to the performance of our method on the manually delineated margins. Round robin evaluation yielded <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"graphic\/mp6426-math-0001.png\" xlink:title=\"urn:x-wiley:00942405:media:mp6426:mp6426-math-0001\"\/> values of 0.90 and 0.87 on the manually delineated margins and the computer\u2010delineated margins, respectively, in the task of distinguishing between malignant and nonmalignant lesions.<\/jats:p>","DOI":"10.1118\/1.1386426","type":"journal-article","created":{"date-parts":[[2002,7,26]],"date-time":"2002-07-26T14:01:44Z","timestamp":1027692104000},"page":"1652-1659","source":"Crossref","is-referenced-by-count":153,"title":["Automatic segmentation of breast lesions on ultrasound"],"prefix":"10.1002","volume":"28","author":[{"given":"Karla","family":"Horsch","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maryellen L.","family":"Giger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luz A.","family":"Venta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carl J.","family":"Vyborny","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2001,8,9]]},"reference":[{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.177.2.2217759"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.196.1.7784555"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-6332(99)80115-9"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/016173469301500401"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.213.2.r99nv13407"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.7863\/jum.1993.12.10.601"},{"key":"e_1_2_1_8_1","doi-asserted-by":"crossref","unstructured":"B. Sahiner et al. \u201cComputerized characterization of breast masses using three\u2010dimensional ultrasound images \u201d inProceedings of the SPIE(SPIE Bellingham WA 1998) Vol. 3338 pp. 301\u2013312.","DOI":"10.1117\/12.310905"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.730396"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1097\/00004424-198903000-00012"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.201.3.8939225"},{"key":"e_1_2_1_12_1","unstructured":"E. Tohno D. O. Cosgrove and J. P. Sloane Ultrasound Diagnosis of Breast Disease(Churchill Livingstone Edinburgh Scotland 1994)."},{"key":"e_1_2_1_13_1","unstructured":"U. Bick M. L. Giger R. A. Schmidt and K. Doi \u201cA new single\u2010image method for computer\u2010aided detection of small mammographic masses \u201d inProdeedings of CAR \u203295 1995 pp. 357\u2013363."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.597626"},{"key":"e_1_2_1_15_1","unstructured":"K. Horsch M. L. Giger L. A. Venta and C. J. Vyborny \u201cComputerized analysis of breast lesions on ultrasound\u201d (under review)."},{"key":"e_1_2_1_16_1","unstructured":"P. L. 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