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Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model
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Outgoing claims: the papers this work cites, builds on, or argues with.
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inferred← citeshttps://doi.org/10.22266/ijies2023.0630.48openalex-snapshot
Effective Feature Selection Using Multi-Objective Improved Ant Colony Optimization for Breast Cancer Classification
inferred← citeshttps://doi.org/10.3233/ida-240334openalex-snapshot
A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection
inferred← citeshttps://doi.org/10.3233/jifs-231176openalex-snapshot
Breast cancer diagnosis using Orca predation optimization algorithm
inferred← citeshttps://doi.org/10.3389/fonc.2022.854927openalex-snapshot
Evolution of research trends in artificial intelligence for breast cancer diagnosis and prognosis over the past two decades: A bibliometric analysis
inferred← citeshttps://doi.org/10.3389/fphy.2023.1264850openalex-snapshot
Automatic classification of electrospun fiber polarized light images using mueller matrix depolarization parameter
inferred← citeshttps://doi.org/10.3390/app10134523openalex-snapshot
Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study
inferred← citeshttps://doi.org/10.3390/cancers13071590openalex-snapshot
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data
inferred← citeshttps://doi.org/10.3390/cancers15030885openalex-snapshot
Hyperparameter Optimizer with Deep Learning-Based Decision-Support Systems for Histopathological Breast Cancer Diagnosis
inferred← citeshttps://doi.org/10.3390/cancers15154007openalex-snapshot
Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images
inferred← citeshttps://doi.org/10.3390/diagnostics11071212openalex-snapshot
Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion
inferred← citeshttps://doi.org/10.3390/diagnostics11081398openalex-snapshot
Colon Tissues Classification and Localization in Whole Slide Images Using Deep Learning
inferred← citeshttps://doi.org/10.3390/diagnostics12071669openalex-snapshot
Federated Learning-Based Detection of Invasive Carcinoma of No Special Type with Histopathological Images
inferred← citeshttps://doi.org/10.3390/diagnostics13101700openalex-snapshot
Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks
inferred← citeshttps://doi.org/10.3390/diagnostics13111944openalex-snapshot
A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images
inferred← citeshttps://doi.org/10.3390/e23050620openalex-snapshot
3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images
inferred← citeshttps://doi.org/10.3390/electronics11010085openalex-snapshot
A Transfer Learning Approach for Lumbar Spine Disc State Classification
inferred← citeshttps://doi.org/10.3390/electronics12010029openalex-snapshot
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance
inferred← citeshttps://doi.org/10.3390/electronics12020403openalex-snapshot
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics12204245openalex-snapshot
Utilizing Fractional Artificial Neural Networks for Modeling Cancer Cell Behavior
inferred← citeshttps://doi.org/10.3390/electronics12244923openalex-snapshot
PLA—A Privacy-Embedded Lightweight and Efficient Automated Breast Cancer Accurate Diagnosis Framework for the Internet of Medical Things
inferred← citeshttps://doi.org/10.3390/electronics9122044openalex-snapshot
Fine-Grained Recognition of Surface Targets with Limited Data
inferred← citeshttps://doi.org/10.3390/ijgi13060185openalex-snapshot
A Novel Rock Mass Discontinuity Detection Approach with CNNs and Multi-View Image Augmentation
inferred← citeshttps://doi.org/10.3390/jimaging6110121openalex-snapshot
Deep Learning in Selected Cancers’ Image Analysis—A Survey
inferred← citeshttps://doi.org/10.3390/jpm14080792openalex-snapshot
Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine
inferred← citeshttps://doi.org/10.3390/life13030691openalex-snapshot
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
inferred← citeshttps://doi.org/10.3390/math10193631openalex-snapshot
Deep Learning Cascaded Feature Selection Framework for Breast Cancer Classification: Hybrid CNN with Univariate-Based Approach
inferred← citeshttps://doi.org/10.3390/plants9101302openalex-snapshot
Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion
inferred← citeshttps://doi.org/10.3390/s21103500openalex-snapshot
Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning
inferred← citeshttps://doi.org/10.3390/s22134938openalex-snapshot
A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms
inferred← citeshttps://doi.org/10.3390/tomography10060065openalex-snapshot
Breast Cancer Diagnosis Method Based on Cross-Mammogram Four-View Interactive Learning
inferred← citeshttps://doi.org/10.3390/tomography8050200openalex-snapshot
Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism
inferred← citeshttps://doi.org/10.37022/jiaps.v8i3.519openalex-snapshot
Application of Machine Learning techniques to improve detection, diagnosis & prediction of breast cancer: A Comparative Analysis
inferred← citeshttps://doi.org/10.48161/qaj.v1n1a33openalex-snapshot
Lung cancer classification with Convolutional Neural Network Architectures
inferred← citeshttps://doi.org/10.48550/arxiv.2110.06512openalex-snapshot
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
inferred← citeshttps://doi.org/10.52783/jes.1748openalex-snapshot
Enhancing Papaya Leaf Disease Detection with CNN and Transfer Learning Fusion for Precise Disease Diagnosis
inferred← citeshttps://doi.org/10.52783/jes.2291openalex-snapshot
Breast Cancer Classification Utilizing Deep Learning Techniques on Medical Images: A Comprehensive Review
inferred← citeshttps://doi.org/10.5772/intechopen.110133openalex-snapshot
The New Landscape of Diagnostic Imaging with the Incorporation of Computer Vision
inferred← citeshttps://doi.org/10.7717/peerj-cs.805openalex-snapshot
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
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