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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier

Computational intelligence and neuroscience, 2022, Vol.2022, p.3236305-13

2022

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Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation

Computational intelligence and neuroscience, 2022-06, Vol.2022, p.7973404-17

2022

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Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-10

2022

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Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-12

2022

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A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-12

2022

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Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)

Computational intelligence and neuroscience, 2022, Vol.2022, p.1797471-13

2022

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HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism

Computational intelligence and neuroscience, 2023, Vol.2023, p.4725986-13

2023

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Investigation of the Differential Power of Young’s Internet Addiction Questionnaire Using the Decision Stump Tree

Computational intelligence and neuroscience, 2022-10, Vol.2022, p.1-7

2022

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MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction

Computational intelligence and neuroscience, 2022, Vol.2022, p.4192367-10

2022

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Empirical Research on the Critical Success Factors of Construction Program

Computational intelligence and neuroscience, 2022, Vol.2022, p.9701963-8

2022

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Spectral Normalized CycleGAN with Application in Semisupervised Semantic Segmentation of Sonar Images

Computational intelligence and neuroscience, 2022, Vol.2022, p.1274260-12

2022

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Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

Computational intelligence and neuroscience, 2022, Vol.2022, p.1658615-13

2022

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Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

Sensors (Basel, Switzerland), 2018-02, Vol.18 (2), p.513

2018

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On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study

Applied sciences, 2022-04, Vol.12 (7), p.3269

2022

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On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

Journal of imaging, 2021-08, Vol.7 (9), p.171

2021

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On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

AI (Basel), 2021-09, Vol.2 (3), p.394-412

2021

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Deep Learning for COVID-19 Diagnosis from CT Images

Applied sciences, 2021-09, Vol.11 (17), p.8227

2021

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An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Journal of imaging, 2022-03, Vol.8 (3), p.66

2022

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Blob Detection and Deep Learning for Leukemic Blood Image Analysis

Applied sciences, 2020-02, Vol.10 (3), p.1176

2020

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Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis

IEEE access, 2022, Vol.10, p.1-1

2022

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Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

IEEE access, 2022, Vol.10, p.122612-122626

2022

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YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

Journal of imaging, 2023-11, Vol.9 (12), p.266

2023

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Special Issue on Image Processing Techniques for Biomedical Applications

Applied sciences, 2022-10, Vol.12 (20), p.10338

2022

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On The Potential of Image Moments for Medical Diagnosis

Journal of imaging, 2023-03, Vol.9 (3), p.70

2023

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An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

Information (Basel), 2024-06, Vol.15 (6), p.360

2024

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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier

Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation

Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features

A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set

Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)

HMFT: Hyperspectral and Multispectral Image Fusion Super-Resolution Method Based on Efficient Transformer and Spatial-Spectral Attention Mechanism

Investigation of the Differential Power of Young’s Internet Addiction Questionnaire Using the Decision Stump Tree

MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction

Empirical Research on the Critical Success Factors of Construction Program

Spectral Normalized CycleGAN with Application in Semisupervised Semantic Segmentation of Sonar Images

Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study

On the Efficacy of Handcrafted and Deep Features for Seed Image Classification

On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario

Deep Learning for COVID-19 Diagnosis from CT Images

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Blob Detection and Deep Learning for Leukemic Blood Image Analysis

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis

Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection

Special Issue on Image Processing Techniques for Biomedical Applications

On The Potential of Image Moments for Medical Diagnosis

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

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