Weighted locality-constrained linear coding for lesion classification in CT images

Yixuan Yuan, Assaf Hoogi, Christopher F. Beaulieu, Max Q.H. Meng, Daniel L. Rubin

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

8 ציטוטים ‏(Scopus)

תקציר

Computed tomography is a popular imaging modality for detecting abnormalities associated with abdominal organs such as the liver, kidney and uterus. In this paper, we propose a novel weighted locality-constrained linear coding (LLC) method followed by a weighted max-pooling method to classify liver lesions into three classes: cysts, metastases, hemangiomas. We first divide the lesions into same-size patches. Then, we extract the raw features in all patches followed by Principal Components Analysis (PCA) and apply K means to obtain a single LLC dictionary. Since the interior lesion patches and the boundary patches contribute different information in the image, we assign different weights on these two types of patches to obtain the LLC codes. Moreover, a weighted max pooling approach is also proposed to further evaluate the importance of these two types of patches in feature pooling. Experiments on 109 images of liver lesions were carried out to validate the proposed method. The proposed method achieves a best lesion classification accuracy of 96.33%, which appears to be superior compared with traditional image coding methods: LLC method and Bag-of-words method (BoW) and traditional features: Local Binary Pattern (LBP) features, uniform LBP and complete LBP, demonstrating that the proposed method provides better classification.

שפה מקוריתאנגלית
כותר פרסום המארח2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
מוציא לאורInstitute of Electrical and Electronics Engineers Inc.
עמודים6362-6365
מספר עמודים4
מסת"ב (אלקטרוני)9781424492718
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 4 נוב׳ 2015
פורסם באופן חיצוניכן
אירוע37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, איטליה
משך הזמן: 25 אוג׳ 201529 אוג׳ 2015

סדרות פרסומים

שםProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
כרך2015-November
ISSN (מודפס)1557-170X

כנס

כנס37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
מדינה/אזוראיטליה
עירMilan
תקופה25/08/1529/08/15

טביעת אצבע

להלן מוצגים תחומי המחקר של הפרסום 'Weighted locality-constrained linear coding for lesion classification in CT images'. יחד הם יוצרים טביעת אצבע ייחודית.

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