Spark Distributed Medical Image Segmentation Method Based on KFCM-CV Model

Jing-yi LIANG, Yu-Cui GUO

Abstract


Medical image segmentation is great significance for the study of medical diagnosis and pathology. In order to process medical images effectively and quickly, a medical image processing method based on Spark is proposed in this paper. Firstly, a model for medical image segment based on improved fuzzy kernel clustering and CV model is built, then the medical images are processed in batches by using this model on Spark. Simulation experiments show that the method proposed in this paper achieves efficient and accurate segmentation.

Keywords


Spark, Medical image segment, KFCM-CV


DOI
10.12783/dtcse/mmsta2017/19719

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