Browsing NTNU Open by Author "Masood, Anum"
Now showing items 1-6 of 6
-
Automated Segmentation of Metastatic Lymph Nodes in Lymphoma Patients
Knapstad, Sølvi (Master thesis, 2022)Ved å bruke det kunstige nevrale nettverket 2D U-Net, tester denne masteroppgaven nøyaktigheten til 2D U-Net med formålet om å automatisk segmentere ondartede svultser i PET/MR-bilder av pasienter med metastatisk lymfom. For ... -
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images
Rehman, Shams ur; Khan, Muhamamd Attique; Masood, Anum; Almujally, Nouf Abdullah; Baili, Jamel; Alhaisoni, Majed; Tariq, Usman; Zhang, Yu-Dong (Journal article; Peer reviewed, 2023)The early detection of breast cancer using mammogram images is critical for lowering women’s mortality rates and allowing for proper treatment. Deep learning techniques are commonly used for feature extraction and have ... -
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 ...