4.5 Article

EfficientUNet: Modified encoder-decoder architecture for the lung segmentation in chest x-ray images

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images

Tarun Agrawal et al.

Summary: COVID-19, initially known as 2019-nCoV, was declared a pandemic by WHO on January 30, 2020. Medical imaging techniques and artificial intelligence play crucial roles in early detection of COVID-19 cases. Despite high accuracy, decisions regarding COVID-19 should involve consultations with trained medical clinicians.

EVOLVING SYSTEMS (2022)

Article Engineering, Electrical & Electronic

Lung segmentation on chest X-ray images in patients with severe abnormal findings using deep learning

Mizuho Nishio et al.

Summary: Several studies have assessed the utility of deep learning for lung segmentation from chest X-ray images, indicating that the Bayesian-optimized U-net architecture is more robust than baseline U-net for lung segmentation from CXR images with large-sized abnormalities.

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2021)

Article Computer Science, Artificial Intelligence

Customized VGG19 Architecture for Pneumonia Detection in Chest X-Rays

Nilanjan Dey et al.

Summary: The research aims to develop a Deep-Learning System for diagnosing lung abnormalities, using a combination of VGG19 and Random-Forest classifier showing the highest accuracy when dealing with chest X-ray images.

PATTERN RECOGNITION LETTERS (2021)

Article Engineering, Biomedical

Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images

Anushikha Singh et al.

Summary: This study investigates the use of a deep convolutional neural network for accurate lung segmentation from chest X-ray images without the need for pre-processing techniques. The method is tested on an Indian dataset and compared with benchmark datasets, demonstrating superior performance.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

Article Computer Science, Artificial Intelligence

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

Nabil Ibtehaz et al.

NEURAL NETWORKS (2020)

Article Engineering, Biomedical

A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images

Anita Khanna et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)

Review Computer Science, Artificial Intelligence

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation

Nima Tajbakhsh et al.

MEDICAL IMAGE ANALYSIS (2020)

Article Computer Science, Artificial Intelligence

Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network

Goncalo Marques et al.

APPLIED SOFT COMPUTING (2020)

Article Computer Science, Interdisciplinary Applications

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

Johnatan Carvalho Souza et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)

Article Computer Science, Artificial Intelligence

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

Simon Graham et al.

MEDICAL IMAGE ANALYSIS (2019)

Article Geochemistry & Geophysics

Road Extraction by Deep Residual U-Net

Zhengxin Zhang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Article Computer Science, Interdisciplinary Applications

Fully Convolutional Architectures for Multiclass Segmentation in Chest Radiographs

Alexey A. Novikov et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)

Article Telecommunications

An Efficient Variant of Fully-Convolutional Network for Segmenting Lung Fields from Chest Radiographs

Rahul Hooda et al.

WIRELESS PERSONAL COMMUNICATIONS (2018)

Article Telecommunications

LF-SegNet: A Fully Convolutional Encoder-Decoder Network for Segmenting Lung Fields from Chest Radiographs

Ajay Mittal et al.

WIRELESS PERSONAL COMMUNICATIONS (2018)

Article Computer Science, Artificial Intelligence

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Vijay Badrinarayanan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Computer Science, Artificial Intelligence

A survey on deep learning in medical image analysis

Geert Litjens et al.

MEDICAL IMAGE ANALYSIS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Interdisciplinary Applications

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

Sema Candemir et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2014)

Article Emergency Medicine

Accuracy of radiographic readings in the emergency department

Bruno Petinaux et al.

AMERICAN JOURNAL OF EMERGENCY MEDICINE (2011)

Article Computer Science, Interdisciplinary Applications

Active shape model segmentation with optimal features

B van Ginneken et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2002)

Review Computer Science, Interdisciplinary Applications

Computer-aided diagnosis in chest radiography: A survey

B van Ginneken et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2001)

Article Radiology, Nuclear Medicine & Medical Imaging

Improved method for automatic identification of lung regions on chest radiographs

LH Li et al.

ACADEMIC RADIOLOGY (2001)