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A distinctive approach in brain tumor detection and classification using MRI

Pattern recognition letters, 2020-11, Vol.139, p.118-127

2020

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Big data analysis for brain tumor detection: Deep convolutional neural networks

Future generation computer systems, 2018-10, Vol.87, p.290-297

2018

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A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

Journal of medical systems, 2019-11, Vol.43 (11), p.326-326, Article 326

2019

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Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions

Multimedia tools and applications, 2020-04, Vol.79 (15-16), p.10955-10973

2020

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An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

Complex & intelligent systems, 2021-08, Vol.7 (4), p.2023-2036

2021

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Efficient hybrid approach to segment and classify exudates for DR prediction

Multimedia tools and applications, 2020-04, Vol.79 (15-16), p.11107-11123

2020

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A Review on Recent Developments for Detection of Diabetic Retinopathy

Scientifica (Cairo), 2016-01, Vol.2016 (2016), p.1-20

2016

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Recognition of Knee Osteoarthritis (KOA) Using YOLOv2 and Classification Based on Convolutional Neural Network

Life (Basel, Switzerland), 2022-07, Vol.12 (8), p.1126

2022

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DeepLabv3+-Based Segmentation and Best Features Selection Using Slime Mould Algorithm for Multi-Class Skin Lesion Classification

Mathematics (Basel), 2023-01, Vol.11 (2), p.364

2023

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Classification and Segmentation of Diabetic Retinopathy: A Systemic Review

Applied sciences, 2023-02, Vol.13 (5), p.3108

2023

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Three-Dimensional Semantic Segmentation of Diabetic Retinopathy Lesions and Grading Using Transfer Learning

Journal of personalized medicine, 2022-09, Vol.12 (9), p.1454

2022

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Pest Localization Using YOLOv5 and Classification Based on Quantum Convolutional Network

Agriculture (Basel), 2023-03, Vol.13 (3), p.662

2023

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Fractured Elbow Classification Using Hand-Crafted and Deep Feature Fusion and Selection Based on Whale Optimization Approach

Mathematics (Basel), 2022-09, Vol.10 (18), p.3291

2022

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Explainable Neural Network for Classification of Cotton Leaf Diseases

Agriculture (Basel), 2022-12, Vol.12 (12), p.2029

2022

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An optimized features selection approach based on Manta Ray Foraging Optimization (MRFO) method for parasite malaria classification

Frontiers in public health, 2022-09, Vol.10, p.969268-969268

2022

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Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization

PeerJ. Computer science, 2024-01, Vol.10, p.e1744-e1744, Article e1744

2024

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Neurochemical Alterations in Sudden Unexplained Perinatal Deaths-A Review

Frontiers in pediatrics, 2018-01, Vol.6, p.6-6

2018

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Segmentation and Classification of Lung Cancer: A Review

Immunology, endocrine & metabolic agents in medicinal chemistry, 2016-06, Vol.16 (2), p.82-99

2016

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Brain tumor detection using fusion of hand crafted and deep learning features

Cognitive systems research, 2020-01, Vol.59, p.221-230

2020

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Neo-Fuzzy Supported Brain Emotional Learning Based Pattern Recognizer for Classification Problems

IEEE access, 2017, Vol.5, p.6951-6968

2017

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Detection of Brain Tumor based on Features Fusion and Machine Learning

Journal of ambient intelligence and humanized computing, 2024, Vol.15 (1), p.983-999

2024

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Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features

Pattern recognition letters, 2024-04, Vol.180, p.16-25

2024

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Integrated design of deep features fusion for localization and classification of skin cancer

Pattern recognition letters, 2020-03, Vol.131, p.63-70

2020

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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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Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network

Microscopy research and technique, 2022-01, Vol.85 (1), p.385-397

2022

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A distinctive approach in brain tumor detection and classification using MRI

Big data analysis for brain tumor detection: Deep convolutional neural networks

A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions

An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

Efficient hybrid approach to segment and classify exudates for DR prediction

A Review on Recent Developments for Detection of Diabetic Retinopathy

Recognition of Knee Osteoarthritis (KOA) Using YOLOv2 and Classification Based on Convolutional Neural Network

DeepLabv3+-Based Segmentation and Best Features Selection Using Slime Mould Algorithm for Multi-Class Skin Lesion Classification

Classification and Segmentation of Diabetic Retinopathy: A Systemic Review

Three-Dimensional Semantic Segmentation of Diabetic Retinopathy Lesions and Grading Using Transfer Learning

Pest Localization Using YOLOv5 and Classification Based on Quantum Convolutional Network

Fractured Elbow Classification Using Hand-Crafted and Deep Feature Fusion and Selection Based on Whale Optimization Approach

Explainable Neural Network for Classification of Cotton Leaf Diseases

An optimized features selection approach based on Manta Ray Foraging Optimization (MRFO) method for parasite malaria classification

Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization

Neurochemical Alterations in Sudden Unexplained Perinatal Deaths-A Review

Segmentation and Classification of Lung Cancer: A Review

Brain tumor detection using fusion of hand crafted and deep learning features

Neo-Fuzzy Supported Brain Emotional Learning Based Pattern Recognizer for Classification Problems

Detection of Brain Tumor based on Features Fusion and Machine Learning

Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features

Integrated design of deep features fusion for localization and classification of skin cancer

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

Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network

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