9/13/2023 0 Comments Spike definition mri![]() It has always been the ardent pursuit of man to extend his capabilities through tools and technology, and one of the most promising technologies developed in the recent years is Computer Vision (CV). The combination of domain-specific segmentation methods and general-purpose adversarial learning loomed to leverage huge advantages for medical imaging applications and can improve the ability of automated algorithms to assist radiologists. The experimental results are tested on BraTS 2015 and BraTS 2017 dataset and the result outperforms the existing methods for brain tumor segmentation. Performance evaluation parameters are taken as DICE and Sensitivity measure. To eliminate this need of paired data we used unpaired training approach to train the proposed network. The problem in automatic brain tumor analysis is preparing large scale labeled data for training of deep networks which is a time consuming and tedious task. RescueNet uses unpaired adversarial training to segment the whole tumor followed by core and enhance regions in a brain MRI scan. In this paper, we designed a network architecture named as residual cyclic unpaired encoder-decoder network (RescueNet) using residual and mirroring principles. ![]() Automatic segmentation become possible with development of deep learning algorithms that brings plethora of solutions in this research prospect.
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