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MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2222

2021

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Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images

IEEE access, 2019, Vol.7, p.26440-26447

2019

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Densely attention mechanism based network for COVID-19 detection in chest X-rays

Scientific reports, 2023-01, Vol.13 (1), p.261-14, Article 261

2023

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An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images

PloS one, 2020-11, Vol.15 (11), p.e0242535-e0242535

2020

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Feature-level ensemble approach for COVID-19 detection using chest X-ray images

PloS one, 2022-07, Vol.17 (7), p.e0268430-e0268430

2022

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Power Aggregation Operators and VIKOR Methods for Complex q-Rung Orthopair Fuzzy Sets and Their Applications

Mathematics (Basel), 2020-04, Vol.8 (4), p.538

2020

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SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation

Scientific reports, 2023-06, Vol.13 (1), p.9087-16, Article 9087

2023

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Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators

Scientific reports, 2023-01, Vol.13 (1), p.1707-1707, Article 1707

2023

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Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application

PloS one, 2020-08, Vol.15 (8), p.e0237213

2020

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Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets

Alexandria engineering journal, 2023-03, Vol.67, p.473-487

2023

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Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography

Applied sciences, 2019-10, Vol.9 (19), p.4130

2019

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COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system

PloS one, 2021-06, Vol.16 (6), p.e0252440

2021

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Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-ray Abnormalities

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

2020

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An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network

Sensors (Basel, Switzerland), 2021-11, Vol.21 (22), p.7480

2021

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Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN

Scientific reports, 2023-08, Vol.13 (1), p.14047-14047, Article 14047

2023

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Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

PloS one, 2022-10, Vol.17 (10), p.e0274075-e0274075

2022

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Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images

Microscopy, 2023-02, Vol.72 (1), p.27-42

2023

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Detecting hand joint ankylosis and subluxation in radiographic images using deep learning: A step in the development of an automatic radiographic scoring system for joint destruction

PloS one, 2023-02, Vol.18 (2), p.e0281088-e0281088

2023

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Integrating image and gene-data with a semi-supervised attention model for prediction of KRAS gene mutation status in non-small cell lung cancer

PloS one, 2024-03, Vol.19 (3), p.e0297331-e0297331

2024

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An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture

PloS one, 2020-12, Vol.15 (12), p.e0243923-e0243923

2020

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Wavelet subband-specific learning for low-dose computed tomography denoising

PloS one, 2022-09, Vol.17 (9), p.e0274308

2022

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Active semi-supervised learning for biological data classification

PloS one, 2020-08, Vol.15 (8), p.e0237428-e0237428

2020

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Improving predictive models for Alzheimer's disease using GWAS data by incorporating misclassified samples modeling

PloS one, 2020-04, Vol.15 (4), p.e0232103-e0232103

2020

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Diagnostic performance of artificial intelligence model for pneumonia from chest radiography

PloS one, 2021-04, Vol.16 (4), p.e0249399-e0249399

2021

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Ensemble Learning of Lightweight Deep Learning Models Using Knowledge Distillation for Image Classification

Mathematics (Basel), 2020-10, Vol.8 (10), p.1652

2020

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MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images

Densely attention mechanism based network for COVID-19 detection in chest X-rays

An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images

Feature-level ensemble approach for COVID-19 detection using chest X-ray images

Power Aggregation Operators and VIKOR Methods for Complex q-Rung Orthopair Fuzzy Sets and Their Applications

SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation

Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators

Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application

Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets

Multiple Feature Integration for Classification of Thoracic Disease in Chest Radiography

COVID-19 pneumonia on chest X-rays: Performance of a deep learning-based computer-aided detection system

Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-ray Abnormalities

An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network

Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN

Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images

Detecting hand joint ankylosis and subluxation in radiographic images using deep learning: A step in the development of an automatic radiographic scoring system for joint destruction

Integrating image and gene-data with a semi-supervised attention model for prediction of KRAS gene mutation status in non-small cell lung cancer

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture

Wavelet subband-specific learning for low-dose computed tomography denoising

Active semi-supervised learning for biological data classification

Improving predictive models for Alzheimer's disease using GWAS data by incorporating misclassified samples modeling

Diagnostic performance of artificial intelligence model for pneumonia from chest radiography

Ensemble Learning of Lightweight Deep Learning Models Using Knowledge Distillation for Image Classification

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