SEMIAUTOMATED BREAST CANCER CLASSIFICATION FROM ULTRASOUND VIDEO

被引：0

作者：

Bocchi, L. ^{[1
]}

Gritti, F. ^{[1
]}

Manfredi, C. ^{[1
]}

Giannotti, E. ^{[2
]}

Nori, J. ^{[2
]}

机构：

[1] Univ Florence, Dept Elect & Telecommun, Florence, Italy

[2] Az Osp Univ Careggi, SOD Diagnost Senolog, Florence, Italy

来源：

2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2012年

关键词：

Breast ultrasound; classification; video; COMPUTER-AIDED DIAGNOSIS; BENIGN; IMAGES; MASSES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The present work presents a new approach, based on the elaboration of a whole video clip of the ecoghraphic acquisition describing the lesion from different viewpoints. The focus of the paper is in comparing performances which can be obtained, using a simple classification algorithm, using the full video clip against the more common single frame approach. The system consists of five modules: preprocessing, semiautomatic segmentation, extraction of morphological features, classification of each frame and integration to obtain the classification of the video clip. Results show that the data integration allows an increase in the correct classification rate from approximately 89%, on a frame-by-frame basis, up to 97% on the whole video clip.

引用

页码：1112 / 1115

页数：4

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