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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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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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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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Rotation Invariant Co-occurrence Matrix Features

Image Analysis and Processing - ICIAP 2017, p.391-401

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A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling

Machine vision and applications, 2016-11, Vol.27 (8), p.1151-1160

2016

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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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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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Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval

Computer Analysis of Images and Patterns, p.287-297

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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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Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

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

2022

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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 leucocytes count system from blood smear images

Machine vision and applications, 2016-11, Vol.27 (8), p.1151-1160

2016

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Analysis of infected blood cell images using morphological operators

Image and vision computing, 2002-02, Vol.20 (2), p.133-146

2002

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Leucocyte classification for leukaemia detection using image processing techniques

Artificial intelligence in medicine, 2014-11, Vol.62 (3), p.179-191

2014

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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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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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Fast and accurate computation of orthogonal moments for texture analysis

Pattern recognition, 2018-11, Vol.83, p.498-510

2018

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On the Detection of Visual Features from Digital Curves Using a Metaheuristic Approach

Applied mathematics (Irvine, Calif.), 2012-11, Vol.3 (11), p.1750-1762

Ruberto, Cecilia Di

2012

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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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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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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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Blob Detection and Deep Learning for Leukemic Blood Image Analysis

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

Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology

Rotation Invariant Co-occurrence Matrix Features

A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling

Deep Learning for COVID-19 Diagnosis from CT Images

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

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

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

Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval

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

Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence

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

A leucocytes count system from blood smear images

Analysis of infected blood cell images using morphological operators

Leucocyte classification for leukaemia detection using image processing techniques

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

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

Fast and accurate computation of orthogonal moments for texture analysis

On the Detection of Visual Features from Digital Curves Using a Metaheuristic Approach

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

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

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

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