Detect-X Automated Threat Detection by AI
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Updated
Oct 10, 2019 - Jupyter Notebook
Detect-X Automated Threat Detection by AI
Imagenet Pretraining for Covid-19 Xray Identification
iOS application Using Deep Learning to detect Pneumonia caused by NCOV-19 from X-Ray Images
Implementation of the Amptek DP5 Protocol for interfacing with PX5 or DP5 Digital Pulse Processors.
Udacity AI for Healthcare Nanodegree Project: Deep Learning Model for Detecting Pneumonia in 2-D Chest X-Rays
A Monte Carlo simulation code of energy dispersive, photon counting (PC) silicon drift detectors (SDDs) for x-ray fluorescence (XRF) and spectrometry applications. The simulation includes PC detectors intended for spectrometry and molecular imaging. The detector is based on Amptek XR100 FastSDD Xray detector (Amptek Inc., Bedford, MA, USA)
Chest X-Ray Pneumonia Identification with PyTorch
X-rays classification of 7 lungs diseases based on convolutional neural networks.
Project using deep learning model to detect bacterial and viral pneumonia in chest x-rays
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