A fine-tuned Deep Learning model for Medical Image Segmentation

Abstract: In medical imaging, segmentation plays a vital role towards the interpretation of Xrays, CT Scans and MRIs where salient features are detected and extracted with the help of image segmentation. Finding an optimal medical image reconstruction methodology is becoming increasingly difficult as technology advances. As a result, medical imaging has benefited from advancements in analysis and diagnosis. Without undergoing surgery, clinicians and radiologists employ various modalities ranging from X-Rays and CT-Scans to ultrasonography, and other imaging techniques to visualise and examine interior human body organ and structures. The focus of this study is on the segmentation approached applied to chest x-ray images, tumour obtained from CT and MRI images. Keyword: Pattern Recognition, Image Segmentation on X-rays, Tumour Detection, MRI, Medical imaging.