کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5485364 1523193 2017 37 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The adaptive computer-aided diagnosis system based on tumor sizes for the classification of breast tumors detected at screening ultrasound
ترجمه فارسی عنوان
سیستم تشخیص کامپیوتری مبتنی بر اندازه تومور برای طبقه بندی تومورهای پستان شناسایی شده در سونوگرافی غربالگری
کلمات کلیدی
سرطان پستان، غربالگری سونوگرافی، تشخیص کامپیوتری،
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم آکوستیک و فرا صوت
چکیده انگلیسی
Screening ultrasound (US) is increasingly used as a supplement to mammography in women with dense breasts, and more than 80% of cancers detected by US alone are 1 cm or smaller. An adaptive computer-aided diagnosis (CAD) system based on tumor size was proposed to classify breast tumors detected at screening US images using quantitative morphological and textural features. In the present study, a database containing 156 tumors (78 benign and 78 malignant) was separated into two subsets of different tumor sizes (<1 cm and ⩾1 cm) to explore the improvement in the performance of the CAD system. After adaptation, the accuracies, sensitivities, specificities and Az values of the CAD for the entire database increased from 73.1% (114/156), 73.1% (57/78), 73.1% (57/78), and 0.790 to 81.4% (127/156), 83.3% (65/78), 79.5% (62/78), and 0.852, respectively. In the data subset of tumors larger than 1 cm, the performance improved from 66.2% (51/77), 68.3% (28/41), 63.9% (23/36), and 0.703 to 81.8% (63/77), 85.4% (35/41), 77.8% (28/36), and 0.855, respectively. The proposed CAD system can be helpful to classify breast tumors detected at screening US.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ultrasonics - Volume 76, April 2017, Pages 70-77
نویسندگان
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