External validation based on transfer learning for diagnosing atelectasis using portable chest X-rays

X Huang, B Li, T Huang, S Yuan, W Wu, H Yin… - Frontiers in …, 2022 - frontiersin.org
Background Although there has been a large amount of research focusing on medical
image classification, few studies have focused specifically on the portable chest X-ray. To …

[HTML][HTML] Atelectasis detection in chest X-ray images using convolutional neural networks and transfer learning with anisotropic diffusion filter

AM Ayalew, YA Bezabh, BM Abuhayi… - Informatics in Medicine …, 2024 - Elsevier
Atelectasis is the loss of volume caused by decreasing gas in a specific area of the lung. It
occurs when the lung sacs (alveoli) do not fully inflate, resulting in a lack of oxygen to the …

Superiority of supervised machine learning on reading chest x-rays in intensive care units

K Tanaka, T Nakada, N Takahashi, T Dozono… - Frontiers in …, 2021 - frontiersin.org
Purpose: Portable chest radiographs are diagnostically indispensable in intensive care units
(ICU). This study aimed to determine if the proposed machine learning technique increased …

Deep-learning-based diagnosis of bedside chest X-ray in intensive care and emergency medicine

SM Niehues, LC Adams, RA Gaudin… - Investigative …, 2021 - journals.lww.com
Objectives Validation of deep learning models should separately consider bedside chest
radiographs (CXRs) as they are the most challenging to interpret, while at the same time the …

A deep learning method for alerting emergency physicians about the presence of subphrenic free air on chest radiographs

CY Su, TY Tsai, CY Tseng, KH Liu, CW Lee - Journal of Clinical Medicine, 2021 - mdpi.com
Hollow organ perforation can precipitate a life-threatening emergency due to peritonitis
followed by fulminant sepsis and fatal circulatory collapse. Pneumoperitoneum is typically …

Using artificial intelligence to establish chest x-ray image recognition model to assist crucial diagnosis in elder patients with dyspnea

L Liong-Rung, C Hung-Wen, H Ming-Yuan… - Frontiers in …, 2022 - frontiersin.org
Pneumonia and pulmonary edema are the most common causes of acute respiratory failure
in emergency and intensive care. Airway maintenance and heart function preservation are …

[PDF][PDF] An IoMT-based federated and deep transfer learning approach to the detection of diverse chest diseases using chest X-rays

B Kakkar, P Johri, Y Kumar, H Park, Y Son… - Hum Centric Comput Inf …, 2022 - hcisj.com
Since chest illnesses are so frequent these days, it is critical to identify and diagnose them
effectively. As such, this study proposes a model designed to accurately predict chest …

Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images

K Shaheed, Q Abbas, A Hussain, I Qureshi - Diagnostics, 2023 - mdpi.com
Computed tomography (CT) scans, or radiographic images, were used to aid in the early
diagnosis of patients and detect normal and abnormal lung function in the human chest …

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang… - PLoS …, 2018 - journals.plos.org
Background Chest radiograph interpretation is critical for the detection of thoracic diseases,
including tuberculosis and lung cancer, which affect millions of people worldwide each year …

Identifying disease-free chest x-ray images with deep transfer learning

KCL Wong, M Moradi, J Wu… - Medical Imaging …, 2019 - spiedigitallibrary.org
Chest X-rays (CXRs) are among the most commonly used medical image modalities. They
are mostly used for screening, and an indication of disease typically results in subsequent …