Publications by authors named "Yusra Elkamali"
CAE-ResVGG FusionNet: A Feature Extraction Framework Integrating Convolutional Autoencoders and Transfer Learning for Immature White Blood Cells in Acute Myeloid Leukemia.
Tusneem Elhassan Ahmed Hamza Osman Mohd Shafry Mohd Rahim Siti Zaiton Mohd Hashim Abdulalem Ali Yusra Elkamali
Heliyon
October 2024
Article Synopsis
- Acute myeloid leukemia (AML) is a severe type of cancer affecting white blood cells, necessitating prompt diagnosis for effective treatment.
- The study introduces "CAE-ResVGG FusionNet," a computer-aided diagnostic system that uses advanced image processing techniques to accurately identify and classify immature white blood cells into four subtypes.
- The framework includes stages for data preprocessing, feature extraction, classification using ensemble methods, and performance validation to ensure high accuracy and reliability in diagnosing AML.
Background: Pectus Excavatum (PEx) is the most common congenital chest wall deformity, accounting for over 90% of all chest wall deformities. Surgical correction is recommended because severe PEx can affect the physical and psychological development of patients. The aim of our study was to assess the impact of surgical repair of Pectus Excavatum in adults during hospital course and results after 1 year.
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