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Characterization of abnormalities in breast cancer images using nature‐inspired metaheuristic optimized convolutional neural networks model

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Automatic breast cancer detection based on optimized neural network using whale optimization algorithm
inferredcites →https://doi.org/10.1007/978-3-030-36664-3_28openalex-snapshot
Machine Learning Techniques for Breast Cancer Diagnosis: Literature Review
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Method Based on Data Mining Techniques for Breast Cancer Recurrence Analysis
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Deep Learning Techniques for Breast Cancer Detection Using Medical Image Analysis
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How Meta-heuristic Algorithms Contribute to Deep Learning in the Hype of Big Data Analytics
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Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
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A complex-valued encoding satin bowerbird optimization algorithm for global optimization
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Convolutional neural network for biomedical applications
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A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images
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Genetic algorithms for modelling and optimisation
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A survey on new generation metaheuristic algorithms
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An expert system design to diagnose cancer by using a new method reduced rule base
inferredcites →https://doi.org/10.1016/j.compbiomed.2011.10.016openalex-snapshot
A statistical based feature extraction method for breast cancer diagnosis in digital mammogram using multiresolution representation
inferredcites →https://doi.org/10.1016/j.engappai.2017.01.006openalex-snapshot
Satin bowerbird optimizer: A new optimization algorithm to optimize ANFIS for software development effort estimation
inferredcites →https://doi.org/10.1016/j.eswa.2008.02.064openalex-snapshot
An expert system for detection of breast cancer based on association rules and neural network
inferredcites →https://doi.org/10.1016/j.gsf.2020.07.012openalex-snapshot
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
inferredcites →https://doi.org/10.1016/j.imu.2017.12.008openalex-snapshot
ST-ONCODIAG: A semantic rule-base approach to diagnosing breast cancer base on Wisconsin datasets
inferredcites →https://doi.org/10.1016/j.jcde.2019.02.002openalex-snapshot
IWOA: An improved whale optimization algorithm for optimization problems
inferredcites →https://doi.org/10.1016/j.jksuci.2020.08.006openalex-snapshot
Whale Harris hawks optimization based deep learning classifier for brain tumor detection using MRI images
inferredcites →https://doi.org/10.1016/j.measurement.2015.04.028openalex-snapshot
A new classifier for breast cancer detection based on Naïve Bayesian
inferredcites →https://doi.org/10.1016/j.procs.2015.06.079openalex-snapshot
A Novel Approach for Breast Cancer Detection and Segmentation in a Mammogram
inferredcites →https://doi.org/10.1016/j.procs.2020.09.075openalex-snapshot
EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction
inferredcites →https://doi.org/10.1016/j.semcancer.2020.06.002openalex-snapshot
Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art
inferredcites →https://doi.org/10.1080/0952813x.2018.1430858openalex-snapshot
A new chaotic multi-verse optimization algorithm for solving engineering optimization problems
inferredcites →https://doi.org/10.1080/0952813x.2020.1785018openalex-snapshot
Adaptive chaotic satin bowerbird optimisation algorithm for numerical function optimisation
inferredcites →https://doi.org/10.1080/19393555.2020.1825882openalex-snapshot
Improved Whale Optimization Algorithm and Convolutional neural network based Cooperative Spectrum Sensing in Cognitive Radio Networks
inferredcites →https://doi.org/10.1080/25742558.2018.1483565openalex-snapshot
A whale optimization algorithm (WOA) approach for clustering
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/access.2019.2903345openalex-snapshot
Multiverse Optimization Algorithm Based on Lévy Flight Improvement for Multithreshold Color Image Segmentation
inferredcites →https://doi.org/10.1109/access.2020.3016223openalex-snapshot
A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography
inferredcites →https://doi.org/10.1109/access.2021.3083516openalex-snapshot
CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/icacsis.2016.7872787openalex-snapshot
Optimization of convolutional neural network using microcanonical annealing algorithm
inferredcites →https://doi.org/10.1109/iciea.2018.8398013openalex-snapshot
Design optimization of a SRM motor by a nature-inspired algorithm: Multi-verse optimizer
inferredcites →https://doi.org/10.1109/icstcc.2013.6688961openalex-snapshot
Evolutionary optimization-based training of convolutional neural networks for OCR applications
inferredcites →https://doi.org/10.1109/iri.2018.00071openalex-snapshot
Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms
inferredcites →https://doi.org/10.1109/tmi.2016.2528162openalex-snapshot
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
inferredcites →https://doi.org/10.1117/1.2358964openalex-snapshot
Computational methods for analysis of human breast tumor tissue in optical coherence tomography images
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2016/1537325openalex-snapshot
Metaheuristic Algorithms for Convolution Neural Network
inferredcites →https://doi.org/10.1155/2019/6192980openalex-snapshot
Optimal Operation of the Hybrid Electricity Generation System Using Multiverse Optimization Algorithm
inferredcites →https://doi.org/10.1155/2019/8718571openalex-snapshot
A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm
inferredcites →https://doi.org/10.1155/2020/8834162openalex-snapshot
Whale Optimization Algorithm for Multiconstraint Second-Order Stochastic Dominance Portfolio Optimization
inferredcites →https://doi.org/10.1371/journal.pone.0167341openalex-snapshot
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inferredcites →https://doi.org/10.14419/ijsw.v7i1.29497openalex-snapshot
Historical survey on metaheuristics algorithms
inferredcites →https://doi.org/10.1504/ijiids.2020.10030219openalex-snapshot
Meta-analysis of computational methods for breast cancer classification
inferredcites →https://doi.org/10.1504/ijiids.2020.108226openalex-snapshot
Meta-analysis of computational methods for breast cancer classification
inferredcites →https://doi.org/10.1515/med-2020-0006openalex-snapshot
Optimization of the Convolutional Neural Networks for Automatic Detection of Skin Cancer
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.20944/preprints202101.0464.v1openalex-snapshot
Hybridizing Neural Network with Multi-Verse, Black Hole, and Shuffled Complex Evolution Optimizer Algorithms Predicting the Dissolved Oxygen
inferredcites →https://doi.org/10.3390/a13030067openalex-snapshot
Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics
inferredcites →https://doi.org/10.3390/en11010183openalex-snapshot
Real-Power Rescheduling of Generators for Congestion Management Using a Novel Satin Bowerbird Optimization Algorithm
inferredcites →https://doi.org/10.3390/jimaging6100105openalex-snapshot
Applications of Computational Methods in Biomedical Breast Cancer Imaging Diagnostics: A Review
inferredcites →https://doi.org/10.3390/math8060936openalex-snapshot
Monarch Butterfly Optimization Based Convolutional Neural Network Design
inferredcites →https://doi.org/10.3390/pr7100657openalex-snapshot
Fine-Tuning Meta-Heuristic Algorithm for Global Optimization
inferredcites →https://doi.org/10.3390/rs11232795openalex-snapshot
Modified Search Strategies Assisted Crossover Whale Optimization Algorithm with Selection Operator for Parameter Extraction of Solar Photovoltaic Models
inferredcites →https://doi.org/10.3390/su12218932openalex-snapshot
Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India
inferredcites →https://doi.org/10.4018/978-1-5225-2229-4.ch048openalex-snapshot
Designing Multilayer Feedforward Neural Networks Using Multi-Verse Optimizer
inferredcites →https://doi.org/10.4108/eai.21-6-2018.2276603openalex-snapshot
Network intrusion detection based on Chaotic Multi-Verse Optimizer
inferredcites →https://doi.org/10.5829/idosi.ije.2014.27.10a.09openalex-snapshot
A Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer

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