Zhihao Chen

Real name:

Zhihao Chen

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First Name:

Zhihao

Last Name:

Chen

Datasets & Competitions

Using deep learning edge detection to improve non-destructive radiographic tests of engine

This paper aims to improve the existing techniques on X-ray image inspection of aerial engine by using artificial intelligence (AI) based object detection model. This technique seeks to augment and improve existing automated non-destructive testing (NDT) diagnosis of metal structure of engine parts. Traditional jet-engine maintenance and overhaul processes are resorted to NDT to find defects in internal welds. An application of deep learning for NDT technology can effectively identify presence and location of up to eight types of defects, leading to enhanced work quality and efficiency.

Categories:: Artificial Intelligence
Machine Learning

1550 Views

Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT

This paper applies AI (artificial intelligence) technology to analyze low-dose HRCT (High-resolution chest radiography) data in an attempt to detect COVID-19 pneumonia symptoms. A new model structure is proposed with segmentation of anatomical structures on DNNs-based (deep learning neural network) methods, relying on an abundance of labeled data for proper training.

Categories:: COVID-19
Image Processing
Health
Medical Imaging
Digital signal processing

3694 Views

Analysis

Title	Post date	Related Dataset
Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT	05/03/2020 - 02:47	Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT	Read More
MASK-RCNN DETECTION OF COVID-19 PNEUMONIA SYMPTOMS BY EMPLOYING STACKED AUTOENCODERS IN DEEP UNSUPERVISED LEARNING ON LOW-DOSE HIGH RESOLUTION CT	05/03/2020 - 02:34	Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT	Read More
Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT	04/30/2020 - 22:41	Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT	Read More
Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT	04/30/2020 - 09:44	Mask-RCNN detection of COVID-19 pneumonia symptoms by employing Stacked Autoencoders in deep unsupervised learning on Low-Dose High Resolution CT	Read More