Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
Keywords:
ultrasound cyst images, classification, deep learning neural network, SVMAbstract
This research presents a solution for classifying ultrasound diagnostic images describing five types of ovarian cyst as Hemorrhagic cyst, PCOS, Dermoid cyst, Endometriotic cyst, Malignant cyst. This work proposed a hybrid algorithmic technique for ovarian cyst image classification. Automatic feature extraction is implemented using recent deep learning neural network (DLNN) that extracts images. The DLNN consists of three dense layers. A proposed DLNNSVM approach outperforms existing learning approaches for ovarian cyst classification. Compared with DLNN and DLNNSVM, the performance of proposed method is better in precision, recall, accuracy and f1-measure.
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