Browsing Articles by Author "Azam, Sami"

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AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images

Shamrat, F M Javed Mehedi; Akter, Shamima; Azam, Sami; Karim, Asif; Ghosh, Pronab; Hasib, Khan Md.; Boer, Frisode; Ahmed, Kawsar (IEEE, 2023-02-14)

Alzheimer’s disease is largely the underlying cause of dementia due to its progressive neurodegenerative nature among the elderly. The disease can be divided into five stages: Subjective Memory Concern (SMC), Mild Cognitive ...
Analysis of Complex Networks for Security Issues Using Attack Graph

Musa, Tanvirali; Yeo, Kheng Cher; Azam, Sami; Shanmugam, Bharanidharan; Karim, Asif; Boer, Friso De; Nur, Fernaz Narin; Faisal, Fahad (2019 International Conference on Computer Communication and Informatics, IEEE, 2019-09-02)

Organizations perform security analysis for assessing network health and safe-guarding their growing networks through Vulnerability Assessments (AKA VA Scans). The output of VA scans is reports on individual hosts and its ...
Automated Breast Tumor Ultrasound Image Segmentation With Hybrid UNet and Classification Using Fine-Tuned CNN Model

Hossain, Shahed; Azam, Sami; Montaha, Sidratul; Karim, Asif; Chowa, Sadia Sultana; Mondol, Chaity; Hasan, Md Zahid; Jonkman, Mirjam (Elsevier, 2023-10-20)

Introduction Breast cancer stands as the second most deadly form of cancer among women worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose The study aims to classify breast ...
Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches To Classify Lung Diseases

Azam, Sami; Rafid, A.K.M. Rakibul Haque; Montaha, Sidratul; Karim, Asif; Jonkman, Mirjam; Boer, Friso De (MDPI Publications, 2023-01-05)

Current research indicates that for the identification of lung disorders, comprising pneumonia and COVID-19, structural distortions of bronchi and arteries (BA) should be taken into account. CT scans are an effective ...
Brain Tumor Segmentation from 3D MRI Scans Using U-Net

Montaha, Sidratul; Azam, Sami (Springer, 2023-05-11)

Segmentation of brain tumor from 3D images is one of the most important and difficult tasks in the field of medical image processing as a manual human-assisted categorization can result in incorrect prediction and diagnosis. ...
Breastnet18

Montaha, Sidratul; Azam, Sami; Muhammad Rakibul Haque Rafid, Abul Kalam; Ghosh, Pronab; Hasan, Md. Zahid; Jonkman, Mirjam; De Boer, Friso (Biology, 2021-11-13)

Background: Identification and treatment of breast cancer at an early stage can reduce mortality. Currently, mammography is the most widely used effective imaging technique in breast cancer detection. However, an erroneous ...
A Comparative Study of Different Machine Learning Tools in Detecting Diabetes

Ghosh, Pronab; Azam, Sami; Karim, Asif; Hassan, Mehedi; Roy, Kuber; Jonkman, Mirjam (Scopus, 2021)

A significant proportion of people around the world are currently suffering from the harmful effects of diabetes and a considerable number of them not being identified at an early stage. Over time this may result in serious ...
A Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction

Antony, Linta; Azam, Sami; Ignatious, Eva; Quadir, Ryana; Beeravolu, Abhijith Reddy; Jonkman, Mirjam; De Boer, Friso (Scopus, 2021)

The incidence, prevalence, and progression of chronic kidney disease (CKD) conditions have evolved over time, especially in countries that have varied social determinants of health. In most countries, diabetics and ...
A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time

Khan, Inam Ullah; Raiaan, Mohaimenul Azam Khan; Fatema, Kaniz; Azam, Sami; Rashid, Rafi Ur; Mukta, Saddam Hossain; Jonkman, Mirjam; Boer, Friso De (MDPI, 2023-05-28)

Diabetic retinopathy (DR) is the foremost cause of blindness in people with diabetes worldwide, and early diagnosis is essential for effective treatment. Unfortunately, the present DR screening method requires the skill ...
COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images

Akter, Shamima; Shamrat, F. M. Javed Mehedi; Chakraborty, Sovon; Karim, Asif; Azam, Sami (Daffodil International University, 2021-11-13)

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 ...
Covid-19 Detection Using Deep Learning Algorithm on Chest X-ray Images

Akter, Shamima; Shamrat, F M Javed Mehedi; Chakraborty, Sovon; Karim, Asif; Azam, Sami (Biology, 2021-11)

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 ...
Deep Learning-Based Analysis of COVID-19 X-Ray Images: Incorporating Clinical Significance and Assessing Misinterpretation

Bhuiyan, Md. Rahad Islam; Azam, Sami; Montaha, Sidratul; Jim, Risul Islam; Karim, Asif; Khan, Inam Ullah; Brady, Mark; Hasan, Md. Zahid; Boer, Friso De; Mukta, Md. Saddam Hossain (SAGE Publications, 2023-11-06)

COVID-19, pneumonia, and tuberculosis have had a significant effect on recent global health. Since 2019, COVID-19 has been a major factor underlying the increase in respiratory-related terminal illness. Early-stage ...
Development and Performance Analysis of Machine Learning Methods for Predicting Depression Among Menopausal Women

Ali, Md. Mamun; Ali, Hussein; Algashamy, A.; Alzidi, Enas; Ahmed, Kawsar; Bui, Francis M.; Patel, Shobhit K.; Azam, Sami; Abdulrazak, Lway Faisal; Moni, Mohammad Ali (Elsevier, 2023-05-25)

Menopause is an obligatory phenomenon in a woman’s life. Some women face mental and physical issues during their menopausal period. Depression is one of the issues some women struggle with during their menopausal period. ...
Development of an Automated Optimal Distance Feature-Based Decision System for Diagnosing Knee Osteoarthritis Using Segmented X-Ray Images

Fatema, Kaniz; Rony, Md Awlad Hossen; Azam, Sami; Mukta, Md Saddam Hossain; Karim, Asif; Hasan, Md Zahid; Jonkman, Mirjam (Elsevier, 2023-11-03)

Knee Osteoarthritis (KOA) is a leading cause of disability and physical inactivity. It is a degenerative joint disease that affects the cartilage, cushions the bones, and protects them from rubbing against each other during ...
Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

Ontor, Md Zahid Hasan; Ali, Md Mamun; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Mahmud, S. M. Hasan; Azam, Sami (Tech Science Press, 2023-01-01)

"Cervical Cancer (CC) is a rapidly growing disease among women throughout the world, especially in developed and developing countries. For this many women have died. Fortunately, it is curable if it can be diagnosed and ...
An Effective Approach To Address Processing Time and Computational Complexity Employing Modified CCT for Lung Disease Classification

Khan, Inam Ullah; Azam, Sami; Montaha, Sidratul; Mahmud, Abdullah Al; Rafid, A.K.M. Rakibul Haque; Hasan, Md. Zahid; Jonkman, Mirjam (Scopus, 22-11-22)

Early identification and adequate treatment can help prevent lung disorders from becoming chronic, severe, and life-threatening. X-ray images are commonly used and an automated and effective method involving deep learning ...
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms with Relief and LASSO Feature Selection Techniques

Ghosh, Pronab; Azam, Sami; Jonkman, Mirjam; Karim, Asif; Shamrat, F. M. Javed Mehedi; Ignatious, Eva; Shultana, Shahana (IEEE, 2021-01-22)

Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using ...
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms with Relief and Lasso Feature Selection Techniques

Ghosh, Pronab; Azam, Sami; Jonkman, Mirjam; Karim, Asif; Shamrat, F. M. Javed Mehedi (Scopus, 2021)

Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using ...
Empirical Study of Password Strength Meter Design

Yang, Yi; Yeo, Kheng Cher; Azam, Sami; Karim, Asif; Ahammad, Ronju; Mahmud, Rakib (Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES, 2020-07-10)

Computer password was first used at the Massachusetts Institute of Technology around 1960 when researchers built a large-scale time-sharing computer called CTSS (Compatible Time Sharing System). There are many purposes ...
Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning

Hossain, MD. Shakhaout; Azam, Sami; Karim, Asif; Montaha, Sidratul; Quadir, Ryana; Boer, Friso De; Altaf-Ul-Amin, MD. (IEEE, 2023-10-20)

Work-related musculoskeletal ailments are injuries or disorders of the joints, muscles, nerves, or tendons caused by repetitive tasks and jobs that require uncomfortable postures. REBA (Rapid Entire Body Assessment) is a ...

Browsing Articles by Author "Azam, Sami"

Browsing Articles by Author "Azam, Sami"

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