Browsing NTNU Open by Author "Khan, Muhammad Attique"
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A Framework of Faster CRNN and VGG16-Enhanced Region Proposal Network for Detection and Grade Classification of Knee RA
Srinivasan, Saravanan; Gunasekaran, Subathra; Mathivanan, Sandeep Kumar; Jayagopal, Prabhu; Khan, Muhammad Attique; Alasiry, Areej; Marzougui, Mehrez; Masood, Anum (Peer reviewed; Journal article, 2023)We developed a framework to detect and grade knee RA using digital X-radiation images and used it to demonstrate the ability of deep learning approaches to detect knee RA using a consensus-based decision (CBD) grading ... -
An Integrated Parallel Inner Deep Learning Models Information Fusion With Bayesian Optimization for Land Scene Classification in Satellite Images
Hamza, Ameer; Khan, Muhammad Attique; Ur Rehman, Shams; Albarakati, Hussain Mobarak; Alroobaea, Roobaea; Baqasah, Abdullah M.; Alhaisoni, Majed; Masood, Anum (Peer reviewed; Journal article, 2023)Classification of remote scenes in satellite imagery has many applications, such as surveillance, earth observation, etc. Classifying high-resolution remote sensing images in machine learning is a big challenge nowadays. ... -
MSRNet: Multiclass Skin Lesion Recognition Using Additional Residual Block Based Fine-Tuned Deep Models Information Fusion and Best Feature Selection
Bibi, Sobia; Khan, Muhammad Attique; Shah, Jamal Hussain; Damaševičius, Robertas; Alasiry, Areej; Marzougui, Mehrez; Alhaisoni, Majed; Masood, Anum (Peer reviewed; Journal article, 2023)Cancer is one of the leading significant causes of illness and chronic disease worldwide. Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising prevalence. The considerable death rate ... -
SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm
Hussain, Muneezah; Khan, Muhammad Attique; Damaševičius, Robertas; Alasiry, Areej; Marzougui, Mehrez; Alhaisoni, Majed; Masood, Anum (Peer reviewed; Journal article, 2023)Background: Using artificial intelligence (AI) with the concept of a deep learning-based automated computer-aided diagnosis (CAD) system has shown improved performance for skin lesion classification. Although deep convolutional ...