Cargando…

A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images

Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of chest X-ray fluoroscopy. However, developing a CAD system for the anatomical structure segmentation remains challenging due to several indistinct structures, variations in the anatomical structure sh...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842654/ https://www.ncbi.nlm.nih.gov/pubmed/36646735 http://dx.doi.org/10.1038/s41598-023-27815-w

Ejemplares similares

Author Correction: A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images
por: Ullah, Ihsan, et al.
Publicado: (2023)

Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
por: El-Rashidy, Nora, et al.
Publicado: (2021)

Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks
por: Lee, Chien-Cheng, et al.
Publicado: (2022)

Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines
por: Babar, Zaheer, et al.
Publicado: (2021)

The Role of Medication Data to Enhance the Prediction of Alzheimer's Progression Using Machine Learning
por: El-Sappagh, Shaker, et al.
Publicado: (2021)

Henry gas solubility optimization double machine learning classifier for neurosurgical patients
por: Mosa, Diana T., et al.
Publicado: (2023)

Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data
por: Saleh, Hager, et al.
Publicado: (2023)

COVID-SegNet: encoder–decoder-based architecture for COVID-19 lesion segmentation in chest X-ray
por: Agrawal, Tarun, et al.
Publicado: (2023)

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data
por: Loey, Mohamed, et al.
Publicado: (2022)

An advanced deep learning models-based plant disease detection: A review of recent research
por: Shoaib, Muhammad, et al.
Publicado: (2023)

Corrigendum: An advanced deep learning models-based plant disease detection: a review of recent research
por: Shoaib, Muhammad, et al.
Publicado: (2023)

Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images
por: Lewis, John, et al.
Publicado: (2023)

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
por: Shoaib, Muhammad, et al.
Publicado: (2022)

Fuzzy Ontology and LSTM-Based Text Mining: A Transportation Network Monitoring System for Assisting Travel
por: Ali, Farman, et al.
Publicado: (2019)

Image Segmentation Using Encoder-Decoder with Deformable Convolutions
por: Gurita, Andreea, et al.
Publicado: (2021)

Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning
por: AlMohimeed, Abdulaziz, et al.
Publicado: (2023)

An Encoder–Decoder Architecture within a Classical Signal-Processing Framework for Real-Time Barcode Segmentation
por: Gómez-Cárdenes, Óscar, et al.
Publicado: (2023)

DMTO: a realistic ontology for standard diabetes mellitus treatment
por: El-Sappagh, Shaker, et al.
Publicado: (2018)

SNOMED CT standard ontology based on the ontology for general medical science
por: El-Sappagh, Shaker, et al.
Publicado: (2018)

A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
por: Ullah, Naeem, et al.
Publicado: (2023)

Encoder-Decoder Architecture for Ultrasound IMC Segmentation and cIMT Measurement
por: Al-Mohannadi, Aisha, et al.
Publicado: (2021)

Semantic segmentation method of underwater images based on encoder-decoder architecture
por: Wang, Jinkang, et al.
Publicado: (2022)

Efficient attention-based deep encoder and decoder for automatic crack segmentation
por: Kang, Dong H, et al.
Publicado: (2021)

EDPNet: An Encoding–Decoding Network with Pyramidal Representation for Semantic Image Segmentation
por: Chen, Dong, et al.
Publicado: (2023)

To segment or not to segment: COVID-19 detection for chest X-rays()
por: Al Hajj Ibrahim, Sara, et al.
Publicado: (2023)

Neuron segmentation using 3D wavelet integrated encoder–decoder network
por: Li, Qiufu, et al.
Publicado: (2021)

Hierarchical Encoder-Decoder With Soft Label-Decomposition for Mitochondria Segmentation in EM Images
por: Luo, Zhengrong, et al.
Publicado: (2021)

A combined encoder–transformer–decoder network for volumetric segmentation of adrenal tumors
por: Wang, Liping, et al.
Publicado: (2023)

A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
por: El-Sappagh, Shaker, et al.
Publicado: (2019)

An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images
por: Elharrouss, Omar, et al.
Publicado: (2021)

DCNet: Densely Connected Deep Convolutional Encoder–Decoder Network for Nasopharyngeal Carcinoma Segmentation
por: Li, Yang, et al.
Publicado: (2021)

SELDNet: Sequenced encoder and lightweight decoder network for COVID-19 infection region segmentation()
por: Fan, Xiaole, et al.
Publicado: (2023)

A Bi-FPN-Based Encoder–Decoder Model for Lung Nodule Image Segmentation
por: Annavarapu, Chandra Sekhara Rao, et al.
Publicado: (2023)

An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
por: Ullah, Naeem, et al.
Publicado: (2023)

MWG-UNet: Hybrid Deep Learning Framework for Lung Fields and Heart Segmentation in Chest X-ray Images
por: Lyu, Yu, et al.
Publicado: (2023)

EDSSA: An Encoder-Decoder Semantic Segmentation Networks Accelerator on OpenCL-Based FPGA Platform
por: Huang, Hongzhi, et al.
Publicado: (2020)

DAM: Hierarchical Adaptive Feature Selection Using Convolution Encoder Decoder Network for Strawberry Segmentation
por: Ilyas, Talha, et al.
Publicado: (2021)

Efficient U-Net Architecture with Multiple Encoders and Attention Mechanism Decoders for Brain Tumor Segmentation
por: Aboussaleh, Ilyasse, et al.
Publicado: (2023)

Chest X-ray dataset and ground truth for lung segmentation
por: Wahyuningrum, Rima Tri, et al.
Publicado: (2023)

Encoding and Decoding Models in Cognitive Electrophysiology
por: Holdgraf, Christopher R., et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_nql0nlke1fp42b564e2pdq9iua