CNX-B2: A Novel CNN-Transformer Approach For Chest X-Ray Medical Report Generation
Medical imaging techniques are the most popular non-invasive methods to diagnose chest diseases. Chest X-ray scans are employed commonly to detect chronic obstructive pulmonary diseases and other respiratory diseases. Despite the significance of these diagnostic methods, the process of disease detec...
Main Authors: | Fawaz F. Alqahtani, Mashood Mohammad Mohsan, Khalaf Alshamrani, Jahan Zeb, Salihah Alhamami, Dareen Alqarni |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10440094/ |
Similar Items
-
COVID-19 Diagnosis Applied DWT and CNN on X-ray Chest Images
by: Muzhir Shaban Al-Ani, et al.
Published: (2023-12-01) -
Detection of Covid-19 on X-Ray Image of Human Chest Using CNN and Transfer Learning
by: Jalu Nusantoro, et al.
Published: (2022-06-01) -
Detection of COVID-19 Using a Pre-trained CNN Model Over Chest X-ray Images
by: Mohammadreza Behnia, et al.
Published: (2022-07-01) -
CNN–RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images
by: Isoon Kanjanasurat, et al.
Published: (2023-01-01) -
Improvised light weight deep CNN based U-Net for the semantic segmentation of lungs from chest X-rays
by: S. Arvind, et al.
Published: (2023-03-01)