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Reconstructing Electron Microscopic(EM) image stacks of mouse brain tissue requires many hours of manual annotation and proofreading, which increases the need for automatic image segmentation methods. The purpose of this work is to conduct automatic segmentation using state-of-the-art deep learning tools available like Tensorflow to train a U-Ne…
This is a image semantic segmentation problem solutions based on django app and trained on the top of Tensorflow API. The trained model takes an image as an input and predict the class of defect from defect1, defect2, defect3, defect4 or no defect with defected area pixels highlighted.