Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir et al.
Neurological disorders (NDs) are becoming more common, posing a concern to pregnant women, parents, healthy infants, and children. Neurological disorders arise in a wide variety of forms, each with its own set of origins, complications, and results. In recent years, the intricacy of brain functional...
Moinul Islam, Md Tanzim Reza, Mohammed Kaosar, Mohammad Zavid Parvez
Medical institutions often revoke data access due to the privacy concern of patients. Federated Learning (FL) is a collaborative learning paradigm that can generate an unbiased global model based on collecting updates from local models trained by client’s data while keeping the local data private. T...
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...
Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, Mufti Mahmud et al.
Quratul Ain, M. Arfan Jaffar, Tae‐Sun Choi
Emtiaz Hussain, Mahmudul Hasan, Syed Zafrul Hassan, Tanzina Hassan Azmi et al.
Alzheimer’s disease is an irremediable, continuous brain disorder that gradually destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. It has become one of the critical diseases throughout the world. Moreover, there is no remedy for Alzheimer’s disease. Ma...
Md. Anwar Hossain, Md. Shahriar Alam Sajib
Computer vision is concerned with the automatic extraction, analysis, and understanding of useful information from a single image or a sequence of images. We have used Convolutional Neural Networks (CNN) in automatic image classification systems. In most cases, we utilize the features from the top l...
Shilpa Rani, Deepika Ghai, Sandeep Kumar, MVV Prasad Kantipudi et al.
In computer vision and medical image processing, object recognition is the primary concern today. Humans require only a few milliseconds for object recognition and visual stimulation. This led to the development of a computer-specific pattern recognition method in this study for identifying objects ...
Md. Mahfuz Ahmed, Md. Maruf Hossain, Md. Rakibul Islam, Md Shahin Ali et al.
Brain tumor, a leading cause of uncontrolled cell growth in the central nervous system, presents substantial challenges in medical diagnosis and treatment. Early and accurate detection is essential for effective intervention. This study aims to enhance the detection and classification of brain tumor...
F. P. Polly, Shubhashis Kumar Shil, Mohammad Arif Hossain, Afiya Ayman et al.
Gliomas are brain tumors starting in the glial cells. Gliomas can be low grade (slow growing) or high grade (fast growing). Physicians use the grade of a brain tumor based on gliomas to decide which treatment a patient needs. The condition of the tumor is of vital importance for the treatment. In th...
Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, Jannat-E-Anawar, Md. Ashraf Uddin et al.
Alzheimer's disease (AD) is one of the leading causes of dementia among older people. In addition, a considerable portion of the world's population suffers from metabolic problems, such as Alzheimer's disease and diabetes. Alzheimer's disease affects the brain in a degenerative manner. As the elderl...
Md. Manowarul Islam, Md. Alamin Talukder, Md. Ashraf Uddin, Arnisha Akhter et al.
Brain tumors significantly impact human health due to their complexity and the challenges in early detection and treatment. Accurate diagnosis is crucial for effective intervention, but existing methods often suffer from limitations in accuracy and efficiency. To address these challenges, this study...
Yunus Miah, Chowdhury Nazia Enam Prima, S Seema, Mufti Mahmud et al.
Alok Sarkar, Md. Maniruzzaman, Mohammad Ashik Alahe, Mohiuddin Ahmad
A brain tumor is an uncontrolled malignant cell growth in the brain, which is denoted as one of the deadliest types of cancer in people of all ages. Early detection of brain tumors is needed to get proper and accurate treatment. Recently, deep learning technology has attained much attraction to the ...
Shahab Ahmad, Tahir Ullah, Ijaz Ahmad, Abdulkarem AL-Sharabi et al.
Cancer has been found as a heterogeneous disease with various subtypes and aims to destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis the distinct type of cancer since they may help cancer survivors with treatment in the early stage. It must also divide ca...