A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography
Chest X-ray radiography (CXR) is among the most frequently used medical imaging modalities. It has a preeminent value in the detection of multiple life-threatening diseases. Radiologists can visually inspect CXR images for the presence of diseases. Most thoracic diseases have very similar patterns,...
Main Authors: | Adnane Ait Nasser, Moulay A. Akhloufi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/1/159 |
Similar Items
-
Deep Learning Model for COVID-19-Infected Pneumonia Diagnosis Using Chest Radiography Images
by: Bunyodbek Ibrokhimov, et al.
Published: (2022-11-01) -
Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis
by: Gamuchirai Tavaziva, et al.
Published: (2022-09-01) -
Estimating the Volume of Nodules and Masses on Serial Chest Radiography Using a Deep-Learning-Based Automatic Detection Algorithm: A Preliminary Study
by: Chae Young Lim, et al.
Published: (2023-06-01) -
Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm
by: Ye Ra Choi, et al.
Published: (2023-07-01) -
Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
by: Giovanni Irmici, et al.
Published: (2023-01-01)