Segmentation of Chest X-Ray Images Using U-Net Model

Segmentation of Chest X-Ray Images Using U-Net Model

Medical imaging, such as chest X-rays, gives an acceptable image of lung functions. Manipulating these images by a radiologist is difficult, thus delaying the diagnosis. Coronavirus is a disease that affects the lung area. Lung segmentation has a significant function in assessing lung disorders. T...

Full description

Bibliographic Details
Main Authors:	Mohammed Y. Kamil, Sahar A. Hashem
Format:	Article
Language:	English
Published:	Brno University of Technology 2022-12-01
Series:	Mendel
Subjects:	U-Net Segmentation Deep learning Coronavirus lung X-ray
Online Access:	https://mendel-journal.org/index.php/mendel/article/view/192

Similar Items

Improvement of chest X-ray image segmentation accuracy based on FCA-Net
by: Rima Tri Wahyuningrum, et al.
Published: (2023-12-01)

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)

PulmonU-Net: a semantic lung disease segmentation model leveraging the benefit of multiscale feature concatenation and leaky ReLU
by: H. Mary Shyni, et al.
Published: (2024-04-01)

An automatic segmentation of breast ultrasound images using U-Net model
by: Radhi Eman, et al.
Published: (2023-01-01)

Lung Region Segmentation Using Modified U-Net Architecture
by: Zhakaw Hamza Hamad, et al.
Published: (2022-12-01)

Automatic Lung Segmentation Algorithm on Chest X-ray Images Based on Fusion Variational Auto-Encoder and Three-Terminal Attention Mechanism
by: Feidao Cao, et al.
Published: (2021-05-01)

Semantic Segmentation on Panoramic Dental X-Ray Images Using U-Net Architectures
by: Rafiatul Zannah, et al.
Published: (2024-01-01)

Quadruplet loss and SqueezeNets for Covid-19 detection from Chest-X rays
by: Pranshav Gajjar, et al.
Published: (2022-07-01)

TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net
by: Xiang Li, et al.
Published: (2023-01-01)

Application of deep learning in chest X-ray abnormality detection
by: Nhan Ngo, et al.
Published: (2023-12-01)

3D Visualization for Lung Surface Images of Covid-19 Patients based on U-Net CNN Segmentation
by: FX Ferdinandus, et al.
Published: (2022-12-01)

Improved Semantic Segmentation of Tuberculosis—Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations
by: Sivaramakrishnan Rajaraman, et al.
Published: (2021-03-01)

UPolySeg: A U-Net-Based Polyp Segmentation Network Using Colonoscopy Images
by: Subhashree Mohapatra, et al.
Published: (2022-08-01)

EfficientNet family U-Net models for deep learning semantic segmentation of kidney tumors on CT images
by: Abubaker Abdelrahman, et al.
Published: (2023-09-01)

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks
by: Michael J. Horry, et al.
Published: (2023-01-01)

Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning
by: Hyo Min Lee, et al.
Published: (2022-04-01)

Chest X-ray dataset and ground truth for lung segmentation
by: Rima Tri Wahyuningrum, et al.
Published: (2023-12-01)

RotU-Net: An Innovative U-Net With Local Rotation for Medical Image Segmentation
by: Fuxiang Zhang, et al.
Published: (2024-01-01)

An improved U-net based retinal vessel image segmentation method
by: Kan Ren, et al.
Published: (2022-10-01)

AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray disease
by: Saleh Albahli, et al.
Published: (2022-08-01)

GAU U-Net for multiple sclerosis segmentation
by: Roba Gamal, et al.
Published: (2023-07-01)

Anomalies Detection in Chest X-Rays Images Using Faster R-CNN and YOLO
by: Hai Thanh Nguyen, et al.
Published: (2023-11-01)

Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model
by: Lifu Wei, et al.
Published: (2022-08-01)

Segmentation of Lung Tomographic Images Using U-Net Deep Neural Networks
by: Eduardo Desteafni Stefanato, et al.
Published: (2023-07-01)

PneumoniaNet: Automated Detection and Classification of Pediatric Pneumonia Using Chest X-ray Images and CNN Approach
by: Roaa Alsharif, et al.
Published: (2021-11-01)

AResU-Net: Attention Residual U-Net for Brain Tumor Segmentation
by: Jianxin Zhang, et al.
Published: (2020-05-01)

MSR U-Net: An Improved U-Net Model for Retinal Blood Vessel Segmentation
by: Giri Babu Kande, et al.
Published: (2024-01-01)

EnRDeA U-Net Deep Learning of Semantic Segmentation on Intricate Noise Roads
by: Xiaodong Yu, et al.
Published: (2023-07-01)

Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images
by: Lukas Glänzer, et al.
Published: (2023-07-01)

U-Net++DSM: Improved U-Net++ for Brain Tumor Segmentation With Deep Supervision Mechanism
by: Kittipol Wisaeng
Published: (2023-01-01)

Loop Residual Attention Network for Automatic Segmentation of COVID-19 Chest X-Ray Images
by: Gongtao Yue, et al.
Published: (2023-01-01)

Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images
by: Shadman Q. Salih, et al.
Published: (2020-06-01)

Using U-Net network for efficient brain tumor segmentation in MRI images
by: Jason Walsh, et al.
Published: (2022-11-01)

MSRD-Unet: Multiscale Residual Dilated U-Net for Medical Image Segmentation
by: Muna Khalaf, et al.
Published: (2022-12-01)

Lung Cancer Classification Using Modified U-Net Based Lobe Segmentation and Nodule Detection
by: Iftikhar Naseer, et al.
Published: (2023-01-01)

Segmentation and classification of lungs CT-scan for detecting COVID-19 abnormalities by deep learning technique: U-Net model
by: Abdoulreza S Moosavi, et al.
Published: (2024-01-01)

Semantic Segmentation of Digestive Abnormalities from WCE Images by Using AttResU-Net Architecture
by: Samira Lafraxo, et al.
Published: (2023-03-01)

Heart Chamber Segmentation in Cardiomegaly Conditions Using the CNN Method with U-Net Architecture
by: Tommy Saputra, et al.
Published: (2023-11-01)

Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays
by: Sivaramakrishnan Rajaraman, et al.
Published: (2022-06-01)

Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays
by: Sivaramakrishnan Rajaraman, et al.
Published: (2023-02-01)