Inam Ullah Khan, Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Sami Azam et al.
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 of ophthalmologists and is time-consuming. In this study, we present an automate...
Pronab Ghosh, Sami Azam, Asif Karim, Mirjam Jonkman et al.
Cardiovascular disease has become one of the world's major causes of death. Accurate and timely diagnosis is of crucial importance. We constructed an intelligent diagnostic framework for prediction of heart disease, using the Cleveland Heart disease dataset. We have used three machine learning appro...
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.
Interpretation of medical images with a computer-aided diagnosis (CAD) system is arduous because of the complex structure of cancerous lesions in different imaging modalities, high degree of resemblance between inter-classes, presence of dissimilar characteristics in intra-classes, scarcity of medic...
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Sayma Islam et al.
The complex feature characteristics and low contrast of cancer lesions, a high degree of inter-class resemblance between malignant and benign lesions, and the presence of various artifacts including hairs make automated melanoma recognition in dermoscopy images quite challenging. To date, various co...
Md. Alif Sheakh, Sami Azam, Mst. Sazia Tahosin, Asif Karim et al.
• ECgMLP offers a novel approach for automated diagnosis of endometrial cancer. • Advanced preprocessing boosts histopathological image quality and accuracy. • Otsu thresholding and watershed aid in precise image segmentation. • ECgMLP achieves 99.26 % accuracy, surpassing prior diagnostic technique...
Kaniz Fatema, Md. Awlad Hossen Rony, Sami Azam, Md. Saddam Hossain Mukta et al.
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 motion. If not treated early, it may lead to knee replacement. In this regar...
Debopom Sutradhar, Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, Mirjam Jonkman et al.
• Automated detection and classification of cervical spine fractures using CT scans. • Combining YOLOv8 object detection with a novel attention-based CNN (VertNet-10). • Achieved 93 % mAP for fracture detection and 99.55 % accuracy in vertebrae classification. • Class activation maps enhance the mod...
Sami Azam, A. K. M. Rakibul Haque Rafid, Sidratul Montaha, Asif Karim et al.
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 modality to detect lung anomalies. However, anomalies in bronchi and arteries can b...
Sadia Sultana Chowa, Sami Azam, Sidratul Montaha, Israt Jahan Payel et al.
PURPOSE: An automated computerized approach can aid radiologists in the early diagnosis of breast cancer. In this study, a novel method is proposed for classifying breast tumors into benign and malignant, based on the ultrasound images through a Graph Neural Network (GNN) model utilizing clinically ...
Sami Azam, Sidratul Montaha, Kayes Uddin Fahim, A. K. M. Rakibul Haque Rafid et al.
Convolutional neural networks (CNNs) have been established for a comprehensive range of computer vision problems across several benchmarks. Visualization and analysis of feature maps generated by convolutional layers can be an effective approach to explore the hidden and complex characteristic of a ...
Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud et al.
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 techniques can potentially contribute to quick and accurate diagnosis of lung ...
Md. Awlad Hossen Rony, Kaniz Fatema, Mohaimenul Azam Khan Raiaan, Md. Mehedi Hassan et al.
Otitis Media (OM), predominantly affecting children, is a significant global health issue, with an estimated 360 million pediatric cases yearly worldwide. OM causes mild and moderate conductive hearing loss which can be disabling for young children, particularly during the first three years of life ...
Sami Azam, Sidratul Montaha, Mohaimenul Azam Khan Raiaan, A. K. M. Rakibul Haque Rafid et al.
An automated computer-aided approach might aid radiologists in diagnosing breast cancer at a primary stage. This study proposes a novel decision support system to classify breast tumors into benign and malignant based on clinically important features, using ultrasound images. Nine handcrafted featur...
Khadija Akter Lima, Khan Md. Hasib, Sami Azam, Asif Karim et al.
Named Entity Recognition (NER) plays a significant role in enhancing the performance of all types of domain specific applications in Natural Language Processing (NLP). According to the type of application, the goal of NER is to identify target entities based on the context of other existing entities...
Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Israt Jahan Payel, Asif Karim et al.
The identification and early treatment of retinal disease can help to prevent loss of vision. Early diagnosis allows a greater range of treatment options and results in better outcomes. Optical coherence tomography (OCT) is a technology used by ophthalmologists to detect and diagnose certain eye con...