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Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Primary study of spiral dynamics inspired optimization
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Firefly Algorithm, Lévy Flights and Global Optimization
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Color Medical Image Analysis
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A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions
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Autonomous Particles Groups for Particle Swarm Optimization
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A V-Shaped Binary Crow Search Algorithm for Feature Selection
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PH2 - A dermoscopic image database for research and benchmarking
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An intelligent decision support system for skin cancer detection from dermoscopic images
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Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction
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Deep features to classify skin lesions
inferredcites →https://doi.org/10.1109/isbi.2018.8363547openalex-snapshot
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
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Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks
inferredcites →https://doi.org/10.1109/ssci.2017.8280804openalex-snapshot
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Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems
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A Survey on Evolutionary Computation Approaches to Feature Selection
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Nonparametric weighted feature extraction for classification
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Evaluation of noise robustness for local binary pattern descriptors in texture classification
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Spiral Dynamics Inspired Optimization
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Skin Lesion Classification from Dermoscopic Images Using Deep Learning Techniques
inferredcites →https://doi.org/10.3390/s16081204openalex-snapshot
Genetic Particle Swarm Optimization–Based Feature Selection for Very-High-Resolution Remotely Sensed Imagery Object Change Detection
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Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network
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A Novel Skin Lesion Detection Approach Using Neutrosophic Clustering and Adaptive Region Growing in Dermoscopy Images
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k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge
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II-FCN for skin lesion analysis towards melanoma detection
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Skin cancer reorganization and classification with deep neural network
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Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks
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Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge
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Segmentation of skin lesions based on fuzzy classification of pixels and histogram thresholding
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Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks
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Deep Learning for Skin Lesion Classification
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Adaptation in Natural and Artificial Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Neighbor Embedding Graph Model for Clustering Ensemble
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Object Detection Using Deep Convolutional Generative Adversarial Networks Embedded Single Shot Detector with Hyper-parameter Optimization
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Audio-Visual Emotion Classification Using Reinforcement Learning-Enhanced Particle Swarm Optimisation
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3282799openalex-snapshot
Neural Inference Search for Multiloss Segmentation Models
inferred← citeshttps://doi.org/10.1111/exsy.13235openalex-snapshot
Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification
inferred← citeshttps://doi.org/10.1142/9789811223334_0107openalex-snapshot
Deep learning-based fall detection
inferred← citeshttps://doi.org/10.1142/9789811223334_0109openalex-snapshot
Deep learning based melanoma diagnosis using dermoscopic images
inferred← citeshttps://doi.org/10.1142/s1469026822500274openalex-snapshot
Detection and Classification of Skin Cancer Using Unmanned Transfer Learning Based Probabilistic Multi-Layer Dense Networks
inferred← citeshttps://doi.org/10.11591/eei.v13i2.6077openalex-snapshot
Image dermoscopy skin lesion classification using deep learning method: systematic literature review
inferred← citeshttps://doi.org/10.1177/1088467x261474346openalex-snapshot
WOA-Driven optimal feature selection from a fused deep and hand-crafted feature set for skin melanoma classification
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0141175openalex-snapshot
Efficiency Analysis of Firefly Optimization-Enhanced GAN-Driven Convolutional Model for Cost-Effective Melanoma Classification
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i7s.6973openalex-snapshot
A Review on Skin Disease Classification and Detection Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.21107/rekayasa.v14i3.12213openalex-snapshot
Classification of Dermoscopic Image of Skin Cancer Using the GLCM Method and Multi-SVM Algorithm
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4362549/v1openalex-snapshot
An Ensemble Clustering Method Based on Several Different Clustering Methods
inferred← citeshttps://doi.org/10.2478/ausi-2022-0014openalex-snapshot
A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records
inferred← citeshttps://doi.org/10.32604/cmc.2021.016102openalex-snapshot
Diagnosis of Various Skin Cancer Lesions Based on Fine-Tuned ResNet50 Deep Network
inferred← citeshttps://doi.org/10.32604/cmc.2022.018396openalex-snapshot
Deep Learning with Backtracking Search Optimization Based Skin Lesion Diagnosis Model
inferred← citeshttps://doi.org/10.32604/cmes.2023.030391openalex-snapshot
Evolutionary Neural Architecture Search and Its Applications in Healthcare
inferred← citeshttps://doi.org/10.32604/iasc.2022.024961openalex-snapshot
Image Masking and Enhancement System for Melanoma Early Stage Detection
inferred← citeshttps://doi.org/10.3390/app11020564openalex-snapshot
A Fully Automatic Procedure for Brain Tumor Segmentation from Multi-Spectral MRI Records Using Ensemble Learning and Atlas-Based Data Enhancement
inferred← citeshttps://doi.org/10.3390/cancers15204946openalex-snapshot
Detection of Malignant Skin Lesions Based on Decision Fusion of Ensembles of Neural Networks
inferred← citeshttps://doi.org/10.3390/diagnostics11081390openalex-snapshot
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review
inferred← citeshttps://doi.org/10.3390/diagnostics12020344openalex-snapshot
Preprocessing Effects on Performance of Skin Lesion Saliency Segmentation
inferred← citeshttps://doi.org/10.3390/diagnostics13152531openalex-snapshot
Assist-Dermo: A Lightweight Separable Vision Transformer Model for Multiclass Skin Lesion Classification
inferred← citeshttps://doi.org/10.3390/diagnostics13233506openalex-snapshot
Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review
inferred← citeshttps://doi.org/10.3390/electronics9111880openalex-snapshot
Evolving Deep DenseBlock Architecture Ensembles for Image Classification
inferred← citeshttps://doi.org/10.3390/math12071049openalex-snapshot
Ant Colony and Whale Optimization Algorithms Aided by Neural Networks for Optimum Skin Lesion Diagnosis: A Thorough Review
inferred← citeshttps://doi.org/10.3390/s19245541openalex-snapshot
IoTNet: An Efficient and Accurate Convolutional Neural Network for IoT Devices
inferred← citeshttps://doi.org/10.3390/s21051816openalex-snapshot
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models
inferred← citeshttps://doi.org/10.3390/s21217306openalex-snapshot
A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN
inferred← citeshttps://doi.org/10.3390/s21237936openalex-snapshot
Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization
inferred← citeshttps://doi.org/10.3390/s22020496openalex-snapshot
New Trends in Melanoma Detection Using Neural Networks: A Systematic Review
inferred← citeshttps://doi.org/10.3390/s22155566openalex-snapshot
A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs
inferred← citeshttps://doi.org/10.33969/ais.2020.21006openalex-snapshot
Detection of Skin Diseases from Dermoscopy Image Using the combination of Convolutional Neural Network and One-versus-All
inferred← citeshttps://doi.org/10.4018/ijrqeh.2021100104openalex-snapshot
AI-Enabled Support System for Melanoma Detection and Classification
inferred← citeshttps://doi.org/10.48550/arxiv.2005.01797openalex-snapshot
3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors
inferred← citeshttps://doi.org/10.51415/10321/4787openalex-snapshot
Development of a clustering algorithm for universal color image segmentation
inferred← citeshttps://doi.org/10.52783/jes.1949openalex-snapshot
SCDC-Net: Detection and Classification of Skin Cancer using Deep q Neural Network with Hybrid Features
inferred← citeshttps://doi.org/10.5755/j02.eie.28843openalex-snapshot
Convolutional Neural Network and Fuzzy Logic-based Hybrid Melanoma Diagnosis System
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