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...
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...
Ahsan Bin Tufail, Inam Ullah, Wali Ullah Khan, Muhammad Asif et al.
Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads to minor and major blindness and is more prevalent among adults. Automated screening saves time of medical care specialists. In this work, we have used different deep learning (DL) based 3D convolutional neur...
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...
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...
Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan et al.
A novel automated multi-classification approach is proposed for the anticipation of lung abnormalities using chest X-ray and CT images. The study leverages a publicly accessible dataset with an insufficient and unbalanced number of images, addressing this issue by employing the data augmentation app...
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. Rahad Islam Bhuiyan, Sami Azam, Sidratul Montaha, Risul Islam Jim et al.
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 interpretation and identification of these diseases from X-ray images is essential to...
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...
Zeeshan Ali Haider, Fida Muhammad Khan, Abu Zafar, Nabila et al.
Card fraud detection refers to the process of identifying unauthorized or suspicious transactions made using credit or debit cards. It employs machine learning models, rule-based systems, and anomaly detection techniques to detect patterns indicating potential fraud. There is a growing need for syst...
Kamran Aziz, Feng Chen, Inamullah Khan, Zahid Ullah et al.
Abdullah Al Mahmud, Asif Karim, Inam Ullah Khan, Pronab Ghosh et al.
Globally, chronic liver disease is a significant cause of death, affecting a large number of people. The liver can be damaged by several factors. Obesity, undiagnosed hepatitis, and alcohol abuse, to name a few examples. This is the cause of inappropriate nerve function, blood in the cough or vomit,...
Hakim Ullah Wazir, Abdul Muqeet Khuram, I M Khalid Reza, Hafsa Ajmal et al.
Background: Growing antibiotic resistance and the limited availability of key components in standard Helicobacter pylori treatments have driven the search for effective alternatives. Minocycline, with its broad-spectrum activity and favorable pharmacokinetics, has emerged as a promising substitute. ...