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Deep Fusion Feature Learning Network for MI-EEG Classification

IEEE access, 2018, Vol.6, p.79050-79059

2018

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NAS-Unet: Neural Architecture Search for Medical Image Segmentation

IEEE access, 2019, Vol.7, p.44247-44257

2019

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U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

IEEE access, 2021, Vol.9, p.82031-82057

2021

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Plant Disease Detection and Classification by Deep Learning-A Review

IEEE access, 2021, Vol.9, p.56683-56698

2021

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Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

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

2020

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A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor

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

2020

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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

IEEE access, 2021-01, Vol.9, p.40496-40510

2021

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A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

IEEE access, 2021-01, Vol.9, p.30551-30572

2021

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Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things

IEEE access, 2020, Vol.8, p.58006-58017

2020

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Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices

IEEE access, 2020-01, Vol.8, p.195594-195607

2020

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Deep Learning in Medical Ultrasound Image Analysis: A Review

IEEE access, 2021, Vol.9, p.54310-54324

2021

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Trends in Deep Learning for Medical Hyperspectral Image Analysis

IEEE access, 2021, Vol.9, p.79534-79548

2021

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A Perspective on Deep Imaging

IEEE access, 2016, Vol.4, p.8914-8924

Wang, Ge

2016

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Hyperparameter Tuning Deep Learning for Diabetic Retinopathy Fundus Image Classification

IEEE access, 2020, Vol.8, p.118164-118173

2020

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Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease

IEEE access, 2019, Vol.7, p.72726-72735

2019

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Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging

IEEE access, 2022, Vol.10, p.23217-23233

2022

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MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

IEEE access, 2020, Vol.8, p.179656-179665

2020

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A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models

IEEE access, 2024, Vol.12, p.27368-27384

2024

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Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs into 3 Dimensional Views

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification

IEEE access, 2023, Vol.11, p.113623-113652

2023

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Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline with Stone-Embedding Augmentation and Lesion-Size Reweighting Approach

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

IEEE access, 2020, Vol.8, p.118869-118883

2020

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Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis

IEEE access, 2020, Vol.8, p.123649-123661

2020

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MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network

IEEE access, 2020, Vol.8, p.55145-55157

2020

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Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling

IEEE access, 2021, Vol.9, p.24273-24287

2021

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Deep Fusion Feature Learning Network for MI-EEG Classification

NAS-Unet: Neural Architecture Search for Medical Image Segmentation

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

Plant Disease Detection and Classification by Deep Learning-A Review

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things

Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices

Deep Learning in Medical Ultrasound Image Analysis: A Review

Trends in Deep Learning for Medical Hyperspectral Image Analysis

A Perspective on Deep Imaging

Hyperparameter Tuning Deep Learning for Diabetic Retinopathy Fundus Image Classification

Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease

Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models

Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs into 3 Dimensional Views

Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification

Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline with Stone-Embedding Augmentation and Lesion-Size Reweighting Approach

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis

MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network

Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling

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