In this work, we propose a novel lightweight neural network, AM-SegNet, to perform semantic segmentation and feature quantification on X-ray images collected from various AM (advanced manufacturing) ...

Bitcoin Core developers have deployed an initial implementation of Segregated Witness on a special testnet for Bitcoin, dubbed SegNet. SegNet allows developers to experiment with the highly ...

This project demonstrates a PyTorch implementation of the SegNet model for performing semantic segmentation on the CamVid road scene dataset. SegNet is a deep learning architecture that segments ...

Abstract: We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of ...

We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable segmentation engine consists of an encoder ...

Lung cancer is seen as one of the most common lung diseases in common people. For the patients having symptoms, the presence of lung nodule is checked by using various imaging techniques. Pulmonary ...