Cargando…

Breast Cancer Detection in Mammography Images Using Deep Convolutional Neural Networks and Fuzzy Ensemble Modeling Techniques

Breast cancer has evolved as the most lethal illness impacting women all over the globe. Breast cancer may be detected early, which reduces mortality and increases the chances of a full recovery. Researchers all around the world are working on breast cancer screening tools based on medical imaging....

Descripción completa

Detalles Bibliográficos
Autores principales:	Altameem, Ayman, Mahanty, Chandrakanta, Poonia, Ramesh Chandra, Saudagar, Abdul Khader Jilani, Kumar, Raghvendra
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406655/ https://www.ncbi.nlm.nih.gov/pubmed/36010164 http://dx.doi.org/10.3390/diagnostics12081812

Ejemplares similares

Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm
por: Gupta, Kamaldeep, et al.
Publicado: (2022)

GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force
por: Pandey, Chandrasen, et al.
Publicado: (2022)

An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer
por: Anand, Vatsala, et al.
Publicado: (2022)

Design of Smart and Secured Healthcare Service Using Deep Learning with Modified SHA-256 Algorithm
por: Mohanty, Mohan Debarchan, et al.
Publicado: (2022)

HTLML: Hybrid AI Based Model for Detection of Alzheimer’s Disease
por: Sharma, Sarang, et al.
Publicado: (2022)

Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models
por: Mahanty, Chandrakanta, et al.
Publicado: (2022)

An Enhanced SEIR Model for Prediction of COVID-19 with Vaccination Effect
por: Poonia, Ramesh Chandra, et al.
Publicado: (2022)

A Cardiac Deep Learning Model (CDLM) to Predict and Identify the Risk Factor of Congenital Heart Disease
por: Pachiyannan, Prabu, et al.
Publicado: (2023)

An Effective Strategy and Mathematical Model to Predict the Sustainable Evolution of the Impact of the Pandemic Lockdown
por: Harjule, Priyanka, et al.
Publicado: (2022)

Minimize the Percentage of Noise in Biomedical Images Using Neural Networks
por: Saudagar, Abdul Khader Jilani
Publicado: (2014)

Multi-Stage Temporal Convolution Network for COVID-19 Variant Classification
por: Ullah, Waseem, et al.
Publicado: (2022)

Prognosis Prediction in COVID-19 Patients through Deep Feature Space Reasoning
por: Ahmad, Jamil, et al.
Publicado: (2023)

Analyses the effects of COVID-19 outbreak on human sexual behaviour using ordinary least-squares based multivariate logistic regression
por: Mahanty, Chandrakanta, et al.
Publicado: (2020)

Deep convolutional neural networks for mammography: advances, challenges and applications
por: Abdelhafiz, Dina, et al.
Publicado: (2019)

Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans
por: Ahmad, Jamil, et al.
Publicado: (2022)

COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare
por: Shome, Debaditya, et al.
Publicado: (2021)

A Novel Benchmark Dataset for COVID-19 Detection during Third Wave in Pakistan
por: Jalil, Zunera, et al.
Publicado: (2022)

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks
por: Hejduk, Patryk, et al.
Publicado: (2023)

COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques
por: Jalil, Zunera, et al.
Publicado: (2022)

Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging
por: Valvano, Gabriele, et al.
Publicado: (2019)

Convolutional neural network for automated mass segmentation in mammography
por: Abdelhafiz, Dina, et al.
Publicado: (2020)

Towards robust diagnosis of COVID-19 using vision self-attention transformer
por: Mehboob, Fozia, et al.
Publicado: (2022)

Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks
por: Bermejo-Peláez, David, et al.
Publicado: (2020)

An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images
por: Shankar, K., et al.
Publicado: (2021)

Classification of healthcare data using hybridised fuzzy and convolutional neural network
por: Ramasamy, Balamurugan, et al.
Publicado: (2019)

Efficient-ECGNet framework for COVID-19 classification and correlation prediction with the cardio disease through electrocardiogram medical imaging
por: Nawaz, Marriam, et al.
Publicado: (2022)

CRV-NET: Robust Intensity Recognition of Coronavirus in Lung Computerized Tomography Scan Images
por: Iqbal, Uzair, et al.
Publicado: (2023)

Classification of asymmetry in mammography via the DenseNet convolutional neural network
por: Liao, Tingting, et al.
Publicado: (2023)

Microcalcification Discrimination in Mammography Using Deep Convolutional Neural Network: Towards Rapid and Early Breast Cancer Diagnosis
por: Leong, Yew Sum, et al.
Publicado: (2022)

Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA
por: Albaradei, Somayah, et al.
Publicado: (2020)

Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation
por: Nanni, Loris, et al.
Publicado: (2023)

Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images
por: Ayan, Enes, et al.
Publicado: (2021)

An Ensemble-Based Deep Convolutional Neural Network for Computer-Aided Polyps Identification From Colonoscopy
por: Sharma, Pallabi, et al.
Publicado: (2022)

Phishing Website Detection Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
por: Yang, Rundong, et al.
Publicado: (2021)

Convolutional neural network -based phantom image scoring for mammography quality control
por: Sundell, Veli-Matti, et al.
Publicado: (2022)

Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network
por: Li, Hongmei, et al.
Publicado: (2019)

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
por: Li, Shaobo, et al.
Publicado: (2017)

Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
por: Xu, Gaowei, et al.
Publicado: (2019)

Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks
por: Islam, Jyoti, et al.
Publicado: (2018)

A multi model ensemble based deep convolution neural network structure for detection of COVID19
por: Deb, Sagar Deep, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_1juqsm9hv7bt6h2ag7m717n799