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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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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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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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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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Cryptocurrency Scams: Analysis and Perspectives

IEEE access, 2021, Vol.9, p.148353-148373

2021

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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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Deep Learning for COVID-19 Diagnosis from CT Images

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

2021

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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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Blob Detection and Deep Learning for Leukemic Blood Image Analysis

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

2020

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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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Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies

Journal of imaging, 2024-08, Vol.10 (8), p.195

2024

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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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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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Research on Classification Method of Medical Ultrasound Image Processing Based on Neural Network

Computational intelligence and neuroscience, 2022-11, Vol.2022, p.1-15

2022

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A novel deep learning based approach for seed image classification and retrieval

Computers and electronics in agriculture, 2021-08, Vol.187, p.106269, Article 106269

2021

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Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

Computers in biology and medicine, 2022-02, Vol.141, p.105032-105032, Article 105032

2022

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Detection of red and white blood cells from microscopic blood images using a region proposal approach

Computers in biology and medicine, 2020-01, Vol.116, p.103530-103530, Article 103530

2020

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Detecting coagulation time in cheese making by means of computer vision and machine learning techniques

Computers in industry, 2025-01, Vol.164, p.104173, Article 104173

2025

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A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites

Biomedical signal processing and control, 2024-08, Vol.94, p.106289, Article 106289

2024

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Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

Knowledge-based systems, 2024-07, Vol.295, p.111833, Article 111833

2024

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Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario

Image Analysis and Processing - ICIAP 2023 Workshops, p.3-14

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Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning

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

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

Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

Cryptocurrency Scams: Analysis and Perspectives

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

Deep Learning for COVID-19 Diagnosis from CT Images

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

Blob Detection and Deep Learning for Leukemic Blood Image Analysis

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies

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

Special Issue on Image Processing Techniques for Biomedical Applications

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

Research on Classification Method of Medical Ultrasound Image Processing Based on Neural Network

A novel deep learning based approach for seed image classification and retrieval

Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method

Detection of red and white blood cells from microscopic blood images using a region proposal approach

Detecting coagulation time in cheese making by means of computer vision and machine learning techniques

A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites

Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification

Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario

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