Cargando…

Detecting and Extracting Brain Hemorrhages from CT Images Using Generative Convolutional Imaging Scheme

PURPOSE: The need for computerized medical assistance for accurate detection of brain hemorrhage from Computer Tomography (CT) images is more mandatory than conventional clinical tests. Recent technologies and advanced computerized algorithms follow Artificial Intelligence (AI), Machine Learning (ML...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pandimurugan, V., Rajasoundaran, S., Routray, Sidheswar, Prabu, A. V., Alyami, Hashem, Alharbi, Abdullah, Ahmad, Sultan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106471/ https://www.ncbi.nlm.nih.gov/pubmed/35571726 http://dx.doi.org/10.1155/2022/6671234

Ejemplares similares

Artificial intelligence based health indicator extraction and disease symptoms identification using medical hypothesis models
por: Sathish Kumar, L., et al.
Publicado: (2022)

Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress
por: Srivastava, Jyoti, et al.
Publicado: (2022)

IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
por: Padhy, Sasmita, et al.
Publicado: (2022)

Image synthesis of monoenergetic CT image in dual‐energy CT using kilovoltage CT with deep convolutional generative adversarial networks
por: Kawahara, Daisuke, et al.
Publicado: (2021)

Human Gait Analysis and Prediction Using the Levenberg-Marquardt Method
por: Alharbi, Abdullah, et al.
Publicado: (2021)

CT and MRI Medical Image Fusion Using Noise-Removal and Contrast Enhancement Scheme with Convolutional Neural Network
por: Bhutto, Jameel Ahmed, et al.
Publicado: (2022)

Visualization of Customized Convolutional Neural Network for Natural Language Recognition
por: Singh, Tajinder Pal, et al.
Publicado: (2022)

Dense Convolutional Neural Network for Detection of Cancer from CT Images
por: Sreenivasu, S. V. N., et al.
Publicado: (2022)

A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids
por: Bashir, Iram, et al.
Publicado: (2019)

Classification of CITES-listed and other neotropical Meliaceae wood images using convolutional neural networks
por: Ravindran, Prabu, et al.
Publicado: (2018)

Super-Resolution Ultrasound Imaging Scheme Based on a Symmetric Series Convolutional Neural Network
por: Tamang, Lakpa Dorje, et al.
Publicado: (2022)

Convolutional auto-encoder for image denoising of ultra-low-dose CT
por: Nishio, Mizuho, et al.
Publicado: (2017)

Multiclass Convolution Neural Network for Classification of COVID-19 CT Images
por: Woan Ching, Serena Low, et al.
Publicado: (2022)

Use of GammaPlan convolution algorithm for dose calculation on CT and cone-beam CT images
por: Ramachandran, Prabhakar, et al.
Publicado: (2021)

Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content
por: Amin, Samina, et al.
Publicado: (2022)

Detection of Breast Cancer from Five-View Thermal Images Using Convolutional Neural Networks
por: Mammoottil, Mathew Jose, et al.
Publicado: (2022)

Deep convolutional neural network for reduction of contrast-enhanced region on CT images
por: Sumida, Iori, et al.
Publicado: (2019)

CCT: Lightweight compact convolutional transformer for lung disease CT image classification
por: Sun, Weiwei, et al.
Publicado: (2022)

Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks
por: Illarionova, Svetlana, et al.
Publicado: (2021)

WBC image classification and generative models based on convolutional neural network
por: Jung, Changhun, et al.
Publicado: (2022)

Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks
por: Zaker, Neda, et al.
Publicado: (2022)

Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks
por: Molina-Maza, Juan Manuel, et al.
Publicado: (2022)

Application of Deep Convolution Network to Automated Image Segmentation of Chest CT for Patients With Tumor
por: Xie, Hui, et al.
Publicado: (2021)

Liver segmentation in CT imaging with enhanced mask region-based convolutional neural networks
por: Chen, Xiaowen, et al.
Publicado: (2021)

Optimization algorithm of CT image edge segmentation using improved convolution neural network
por: Wang, Xiaojuan, et al.
Publicado: (2022)

Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network
por: Khoshkhabar, Maryam, et al.
Publicado: (2023)

Intelligent scaling for 6G IoE services for resource provisioning
por: Alharbi, Abdullah, et al.
Publicado: (2021)

Generation of Synthetic-Pseudo MR Images from Real CT Images
por: Abu-Qasmieh, Isam F., et al.
Publicado: (2022)

Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network
por: Hizukuri, Akiyoshi, et al.
Publicado: (2018)

Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks
por: Fujioka, Tomoyuki, et al.
Publicado: (2019)

Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images
por: Rao, B. Nageswara, et al.
Publicado: (2022)

AI Model for Detection of Abdominal Hemorrhage Lesions in Abdominal CT Images
por: Park, Young-Jin, et al.
Publicado: (2023)

Intraoperative CT and cone-beam CT imaging for minimally invasive evacuation of spontaneous intracerebral hemorrhage
por: Hecht, Nils, et al.
Publicado: (2020)

Ensemble Learning-Based Hybrid Segmentation of Mammographic Images for Breast Cancer Risk Prediction Using Fuzzy C-Means and CNN Model
por: Jha, Sudan, et al.
Publicado: (2023)

DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image
por: Hasan, Najmul, et al.
Publicado: (2021)

Topology optimization search of deep convolution neural networks for CT and X-ray image classification
por: Louati, Hassen, et al.
Publicado: (2022)

Region-Based Segmentation and Wiener Pilot-Based Novel Amoeba Denoising Scheme for CT Imaging
por: Talha, Syed Muhammad Umar, et al.
Publicado: (2020)

Design of Flexible Hardware Accelerators for Image Convolutions and Transposed Convolutions
por: Sestito, Cristian, et al.
Publicado: (2021)

Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme
por: Hou, Guisheng, et al.
Publicado: (2020)

An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints
por: Schwarz Schuler, Joao Paulo, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fgh8qv0k2esrbtd3f8n98igovs