Pronab Ghosh, Sami Azam, Mirjam Jonkman, Asif Karim et al.
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 machine learning models is a promising approach. We would like to propose a mod...
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Pronab Ghosh et al.
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 mammogram based interpretation may result in false diagnosis rate, as disting...
Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Inam Ullah Khan, Sami Azam et al.
Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood vessel damage can lead to vision loss and blindness if not recognized at an early stage. Manual DR detection using large fundus image data is time-consuming and error-prone. An effective automatic DR detection...
Linta Antony, Sami Azam, Eva Ignatious, Ryana Quadir et al.
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 hypertension are the main causes of CKDs. The global guidelines classify CKD as a con...
Pronab Ghosh, Sami Azam, Khan Md. Hasib, Asif Karim et al.
Breast Cancer is one of the leading causes of death worldwide. Early detection is very important in increasing survival rates. Intensive research is therefore done to improve early detection of such cancers through the use of available technology. This includes various image processing techniques an...
Khan Md. Hasib, Sami Azam, Asif Karim, Ahmed Al Marouf et al.
Searching, retrieving, and arranging text in ever-larger document collections necessitate more efficient information processing algorithms. Document categorization is a crucial component of various information processing systems for supervised learning. As the quantity of documents grows, the perfor...
Pronab Ghosh, Sami Azam, Asif Karim, Mehedi Hassan et al.
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 health problem such as blindness and kidney failure. To accurately classify ...
Pronab Ghosh, Sami Azam, Ryana Quadir, Asif Karim et al.
Skin cancer these days have become quite a common occurrence especially in certain geographic areas such as Oceania. Early detection of such cancer with high accuracy is of utmost importance, and studies have shown that deep learning- based intelligent approaches to address this concern have been fr...
Md. Saddam Hossain Mukta, Jubaer Ahmad, Mohaimenul Azam Khan Raiaan, Salekul Islam et al.
With the development of computer vision and deep learning technologies, rapidly expanding approaches have been introduced that allow anyone to create videos and pictures that are both phony and incredibly lifelike. The term deepfake methodology is used to describe such technologies. Face alteration ...
Kaniz Fatema, Sidratul Montaha, Md. Awlad Hossen Rony, Sami Azam et al.
Heart disease can be life-threatening if not detected and treated at an early stage. The electrocardiogram (ECG) plays a vital role in classifying cardiovascular diseases, and often physicians and medical researchers examine paper-based ECG images for cardiac diagnosis. An automated heart disease pr...
Rahul Rao Vokerla, Bharanidharan Shanmugam, Sami Azam, Asif Karim et al.
In recent decades, Information Technology has contributed fundamentally to the development of financial markets, reforming the way in which financial institutions interact with each other. However, the established practices and norms of this sector may face an all-out overhaul as remarkable innovati...
Sara Dhakal, Sami Azam, Khan Md. Hasib, Asif Karim et al.
Dementia is a chronic and degenerative condition, which has become a major health concern among the elderly. With ever-continuing cases of dementia, it has become a very challenging task in the 21st century to provide care for patients with dementia. This paper proposes a framework for the predictio...
Asif Ahmed, Mahbub Parvez, Md Hridoy Hasan, Fernaz Narin Nur et al.
The use of private vehicles intensifies the existing unbearable traffic jam and majority of the parents consider school buses to be largely unsafe for their kids. However, safe and user friendly school buses can reduce the use of private vehicles and will eventually cut back the traffic jam in citie...
Abdullah Al Mahmud, Sami Azam, Inam Ullah Khan, Sidratul Montaha et al.
Abstract The increasing incidence of skin cancer necessitates advancements in early detection methods, where deep learning can be beneficial. This study introduces SkinNet-14, a novel deep learning model designed to classify skin cancer types using low-resolution dermoscopy images. Unlike existing m...
Shahed Hossain, Sami Azam, Sidratul Montaha, Asif Karim et al.
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 ultrasound images into benign and malignant tumors. This approach involves segmentin...