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Intelligent immune clonal optimization algorithm for pulmonary nodule classification

https://doi.org/10.3934/mbe.2021208

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What this work says

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An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images

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Detection and classification of pulmonary nodules using deep learning and swarm intelligence

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A CADe system for nodule detection in thoracic CT images based on artificial neural network

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Improved lung nodule diagnosis accuracy using lung CT images with uncertain class

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Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics

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Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks

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Hessian-MRLoG: Hessian information and multi-scale reverse LoG filter for pulmonary nodule detection

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Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

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Magnetic resonance imaging-clonal selection algorithm: An intelligent adaptive enhancement of brain image with an improved immune algorithm

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Chaos-based improved immune algorithm (CBIIA) for resource-constrained project scheduling problems

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Lung nodule classification using artificial crawlers, directional texture and support vector machine

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High-dimensional supervised feature selection via optimized kernel mutual information

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Adaptive chaos parallel clonal selection algorithm for objective optimization in WTA application

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Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning

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Attentive and ensemble 3D dual path networks for pulmonary nodules classification

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Effective and Reliable Framework for Lung Nodules Detection from CT Scan Images

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Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification

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Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis

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Multidomain Features-Based GA Optimized Artificial Immune System for Bearing Fault Detection

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Image filtering for improved dose resolution in CT polymer gel dosimetry

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An Effective Hybrid Windowed Fourier Filtering and Fuzzy C-Mean for Pulmonary Nodule Segmentation

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Modified Gaussian Models for Pulmonary Nodule Simulation in Chest Tomosynthesis

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Modified Rolling-Ball Method for Pulmonary Parenchyma Segmentation

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Artificial intelligence in cancer imaging: Clinical challenges and applications

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Lung Nodule Detection via Deep Reinforcement Learning

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AISAC: An Artificial Immune System for Associative Classification Applied to Breast Cancer Detection

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3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification

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Detection of low dose CT pulmonary nodules based on 3D convolution neural network

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Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview

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Artificial immune intelligence-inspired dynamic real-time computer forensics model

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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