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Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning

Journal of medical systems, 2020-02, Vol.44 (2), p.32-32, Article 32

2020

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Deep Semantic Segmentation and Multi-Class Skin Lesion Classification based on Convolutional Neural Network

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features

IEEE access, 2020, Vol.8, p.167448-167459

2020

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Investigation of salt tolerance in cotton germplasm by analyzing agro-physiological traits and ERF genes expression

Scientific reports, 2024-05, Vol.14 (1), p.11809-11809, Article 11809

2024

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An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models

IEEE access, 2020, Vol.8, p.228586-228597

2020

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Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning

Heliyon, 2024-05, Vol.10 (10), p.e30954-e30954, Article e30954

2024

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Clinically acquired new challenging dataset for brain SOL segmentation: AJBDS-2023

Data in brief, 2024-02, Vol.52, p.109915-109915, Article 109915

2024

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An Integrated Design Based on Dual Thresholding and Features Optimization for White Blood Cells Detection

IEEE access, 2021, Vol.9, p.151421-151433

2021

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Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks

Diagnostics (Basel), 2022-03, Vol.12 (4), p.823

2022

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Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network

Pattern recognition letters, 2020-01, Vol.129, p.115-122

2020

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Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions

Knowledge-based systems, 2022-08, Vol.249, p.108881, Article 108881

2022

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An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

Pattern recognition letters, 2020-01, Vol.129, p.150-157

2020

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Brain tumor detection using statistical and machine learning method

Computer methods and programs in biomedicine, 2019-08, Vol.177, p.69-79

2019

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Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network

Cognitive computation, 2022-09, Vol.14 (5), p.1677-1688

2022

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Brain tumor detection: a long short-term memory (LSTM)-based learning model

Neural computing & applications, 2020-10, Vol.32 (20), p.15965-15973

2020

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Brain tumor detection and classification using machine learning: a comprehensive survey

Complex & intelligent systems, 2022-08, Vol.8 (4), p.3161-3183

2022

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Brain tumor detection based on extreme learning

Neural computing & applications, 2020-10, Vol.32 (20), p.15975-15987

2020

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A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain

Neural computing & applications, 2022-10, Vol.34 (20), p.17315-17328

2022

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Detection of brain space-occupying lesions using quantum machine learning

Neural computing & applications, 2023-09, Vol.35 (26), p.19279-19295

2023

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Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

Cognitive systems research, 2020-01, Vol.59, p.304-311

2020

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Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer

Biomedical signal processing and control, 2024-06, Vol.92, p.106106, Article 106106

2024

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Detection of anomaly in surveillance videos using quantum convolutional neural networks

Image and vision computing, 2023-07, Vol.135, p.104710, Article 104710

2023

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An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach

Microscopy research and technique, 2021-10, Vol.84 (10), p.2254-2267

2021

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3D-semantic segmentation and classification of stomach infections using uncertainty aware deep neural networks

Complex & intelligent systems, 2022-08, Vol.8 (4), p.3041-3057

2022

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Suspicious activities detection using spatial–temporal features based on vision transformer and recurrent neural network

Journal of ambient intelligence and humanized computing, 2024-05

2024

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Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning

Deep Semantic Segmentation and Multi-Class Skin Lesion Classification based on Convolutional Neural Network

Recognition of Different Types of Leukocytes Using YOLOv2 and Optimized Bag-of-Features

Investigation of salt tolerance in cotton germplasm by analyzing agro-physiological traits and ERF genes expression

An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models

Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning

Clinically acquired new challenging dataset for brain SOL segmentation: AJBDS-2023

An Integrated Design Based on Dual Thresholding and Features Optimization for White Blood Cells Detection

Liver Tumor Localization Based on YOLOv3 and 3D-Semantic Segmentation Using Deep Neural Networks

Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network

Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions

An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

Brain tumor detection using statistical and machine learning method

Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network

Brain tumor detection: a long short-term memory (LSTM)-based learning model

Brain tumor detection and classification using machine learning: a comprehensive survey

Brain tumor detection based on extreme learning

A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain

Detection of brain space-occupying lesions using quantum machine learning

Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer

Detection of anomaly in surveillance videos using quantum convolutional neural networks

An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach

3D-semantic segmentation and classification of stomach infections using uncertainty aware deep neural networks

Suspicious activities detection using spatial–temporal features based on vision transformer and recurrent neural network

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