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Field: Radiology, Nuclear Medicine and Imaging

Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images

Verified

Md. Belal Hossain, Shahriar Iqbal, Md. Monirul Islam, Md. Nasim Akhtar et al.

Informatics in Medicine Unlocked
Journal:
Year: 2022
Citations: 153

COVID-19 cases are putting pressure on healthcare systems all around the world. Due to the lack of available testing kits, it is impractical for screening every patient with a respiratory ailment using traditional methods (RT-PCR). In addition, the tests have a high turn-around time and low sensitiv...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images

Verified

Shamima Akter, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Asif Karim et al.

Journal: BiologyYear: 2021Citations: 153

COVID-19, regarded as the deadliest virus of the 21st century, has claimed the lives of millions of people around the globe in less than two years. Since the virus initially affects the lungs of patients, X-ray imaging of the chest is helpful for effective diagnosis. Any method for automatic, reliab...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features

Verified

Qaisar Abbas, Irene Fondón, Auxiliadora Sarmiento, Soledad Jiménez et al.

Journal: Medical & Biological Engineering & ComputingYear: 2017Citations: 152

Diabetic retinopathy (DR) is leading cause of blindness among diabetic patients. Recognition of severity level is required by ophthalmologists to early detect and diagnose the DR. However, it is a challenging task for both medical experts and computer-aided diagnosis systems due to requiring extensi...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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A Narrative Review on Clinical Applications of fNIRS

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Md. Asadur Rahman, Abu Bakar Siddik, Tarun Kanti Ghosh, Farzana Khanam et al.

Journal: Journal of Digital ImagingYear: 2020Citations: 149

Functional near-infrared spectroscopy (fNIRS) is a relatively new imaging modality in the functional neuroimaging research arena. The fNIRS modality non-invasively investigates the change of blood oxygenation level in the human brain utilizing the transillumination technique. In the last two decades...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision

Verified

Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, Qurrat- ul-ain et al.

Journal: Archives of Computational Methods in EngineeringYear: 2024Citations: 146
Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions

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Tauhidul Islam, Md Sadman Hafiz, Jamin Rahman Jim, Md. Mohsin Kabir et al.

Journal: Healthcare AnalyticsYear: 2024Citations: 144

Data augmentation involves artificially expanding a dataset by applying various transformations to the existing data. Recent developments in deep learning have advanced data augmentation, enabling more complex transformations. Especially vital in the medical domain, deep learning-based data augmenta...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images

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Niloy Sikder, Mehedi Masud, Anupam Kumar Bairagi, Abu Shamim Mohammad Arif et al.

Journal: SymmetryYear: 2021Citations: 143

Diabetic Retinopathy (DR) refers to the damages endured by the retina as an effect of diabetes. DR has become a severe health concern worldwide, as the number of diabetes patients is soaring uncountably. Periodic eye examination allows doctors to detect DR in patients at an early stage to initiate p...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm

Verified

Sajib Kabiraj, M. Raihan, Nasif Alvi, Marina Afrin et al.

Year: 2020Citations: 140

Breast cancer is as one of the common and serious cause of death among women globally. This is a disease where the cells grow out of control inside the breast. Family History of cancer disease, physical inactivity, psychological stress, increase in breast size are the risk factors of breast cancer. ...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Comparison of three conservative treatment protocols in carpal tunnel syndrome

Verified

Özlem Baysal, Zühal Altay, Cemal Özcan, Kadir Ertem et al.

Journal: International Journal of Clinical PracticeYear: 2006Citations: 137

The aim of this study was to investigate and compare the therapeutic effect of three different combinations in the conservative treatment of carpal tunnel syndrome (CTS) by means of clinical and electrophysiological studies. The combinations included tendon- and nerve-gliding exercises in combinatio...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning

Verified

Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar et al.

Journal: MDPI (MDPI AG)Year: 2021Citations: 129

Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from computed tomography images. An extensive set of experiments were performed using E...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

Verified

Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 128

Diabetic retinopathy (DR) is an incurable retinal condition caused by excessive blood sugar that, if left untreated, can result in even blindness. A novel automated technique for DR detection has been proposed in this paper. To accentuate the lesions, the fundus images (FIs) were preprocessed using ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

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Md. Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter et al.

Journal: Computers in Biology and MedicineYear: 2021Citations: 127

Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdeveloped countries are still struggling to identify COVID...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19)

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Md. Milon Islam, Saifuddin Mahmud, L. J. Muhammad, Md. Rabiul Islam et al.

Journal: SN Computer ScienceYear: 2020Citations: 125

Wearable technology plays a significant role in our daily life as well as in the healthcare industry. The recent coronavirus pandemic has taken the world's healthcare systems by surprise. Although trials of possible vaccines are underway, it would take a long time before the vaccines are permitted f...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach

Verified

Md. Robiul Islam, Md. Nahiduzzaman

Journal: Expert Systems with ApplicationsYear: 2022Citations: 124

Recently the most infectious disease is the novel Coronavirus disease (COVID 19) creates a devastating effect on public health in more than 200 countries in the world. Since the detection of COVID19 using reverse transcription-polymerase chain reaction (RT-PCR) is time-consuming and error-prone, the...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Effects of two types of low-level laser wave lengths (850 and 630 nm) on the orthodontic tooth movements in rabbits

Verified

Massoud Seifi, Hasan Ali Shafeei, Shahram Daneshdoost, Maziar Mir

Journal: Lasers in Medical ScienceYear: 2007Citations: 123

The effects of low-level lasers on bone cellular activity, bone structures, bone healing, fibroblasts activity and inflammation process have already been investigated. Considering orthodontic tooth movement, which is a complicated inflammatory process involving simultaneous bone apposition and resor...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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