The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …
image analysis. This paper aims to highlight the importance of deep learning architectures in …
[HTML][HTML] Segmentation and classification on chest radiography: a systematic survey
T Agrawal, P Choudhary - The Visual Computer, 2023 - Springer
Chest radiography (X-ray) is the most common diagnostic method for pulmonary disorders.
A trained radiologist is required for interpreting the radiographs. But sometimes, even …
A trained radiologist is required for interpreting the radiographs. But sometimes, even …
A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images
K Rezaee, A Badiei, S Meshgini - 2020 27th national and 5th …, 2020 - ieeexplore.ieee.org
As a contagious disease originating from a novel coronavirus, COVID-19 leads to swollen
air sacs in the lungs. It can be diagnosed using a chest X-ray (CXR) images, which is usually …
air sacs in the lungs. It can be diagnosed using a chest X-ray (CXR) images, which is usually …
[HTML][HTML] Searching for pneumothorax in x-ray images using autoencoded deep features
Fast diagnosis and treatment of pneumothorax, a collapsed or dropped lung, is crucial to
avoid fatalities. Pneumothorax is typically detected on a chest X-ray image through visual …
avoid fatalities. Pneumothorax is typically detected on a chest X-ray image through visual …
Novel CEFNet framework for lung disease detection and infection region identification
Lung disease encompasses various disorders that result in impaired lung function and
breathing difficulties. We propose a two-stage pipeline for automated lung disease detection …
breathing difficulties. We propose a two-stage pipeline for automated lung disease detection …
Automated diagnosis of heart-lung diseases in chest X-ray images
The state of the art of artificial intelligence (AI) for various medical imaging applications
leads to enhanced accuracy, analysis, visualization, and interpretation of chest Xray (CXR) …
leads to enhanced accuracy, analysis, visualization, and interpretation of chest Xray (CXR) …
A study on Co-occurrence of various lung diseases and COVID-19 by observing chest X-ray similarity using deep convolutional neural networks
Covid-19, an infectious disease, is currently the leading topic of conversation throughout the
world. Declared as a pandemic by the WHO, the virus attacks the respiratory system and …
world. Declared as a pandemic by the WHO, the virus attacks the respiratory system and …
Detection of Lung Diseases using Deep Learning
R Naik, T Wani, S Bajaj, S Ahir… - Proceedings of the 3rd …, 2020 - papers.ssrn.com
There is an increasing risk on health due to changing environment, climate and lifestyle.
India tops the world in deaths due to lung diseases. They were the second highest cause of …
India tops the world in deaths due to lung diseases. They were the second highest cause of …
A Comparative study on classification performance of Emphysema with transfer learning methods in deep convolutional neural networks
S Yazar - Computer Science, 2022 - ibn.idsi.md
Today Emphysema, which takes place among the top five diseases, is encountered in the
western world in terms of rehabilitation and healthcare costs. Diagnosis of this type of …
western world in terms of rehabilitation and healthcare costs. Diagnosis of this type of …
A deep learning based suggested model to detect necrotising enterocolitis in abdominal radiography images
J van Druten, MS Sharif, SS Chan… - 2019 International …, 2019 - ieeexplore.ieee.org
A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal
Radiography Images Page 1 978-1-7281-2138-3/19/$31.00 ©2019 IEEE 118 A Deep Learning …
Radiography Images Page 1 978-1-7281-2138-3/19/$31.00 ©2019 IEEE 118 A Deep Learning …