Chest X-Ray Image Segmentation Using Encoder-Decoder Convolutional Network

Abstract

This paper presents a deep learning method of segmenting lungs in chest X-Ray image using Encoder-Decoder Convolutional Network on the JSRT (Japanese Society of Radiological Technology) lung nodule dataset. The result of the segmentation has proven efficient enough to be applicable in real world medical environments to bring ease in determining the area occupied by the lungs and some other medical diagnosis.