Search Results - "Alshamrani, Abdullah Fahad A"
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Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models
Published in Sensors (Basel, Switzerland) (01-09-2023)“…This paper presents a comprehensive study on the classification of brain tumor images using five pre-trained vision transformer (ViT) models, namely…”
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Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications
Published in Life (Basel, Switzerland) (26-06-2023)“…Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain cells in the tumor grow abnormally and badly affect the surrounding brain…”
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Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans
Published in Diagnostics (Basel) (01-06-2023)“…A brain tumor is a significant health concern that directly or indirectly affects thousands of people worldwide. The early and accurate detection of brain…”
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Diagnostic Accuracy of Molecular Imaging Techniques for Detecting Prostate Cancer: A Systematic Review
Published in Diagnostics (Basel) (21-06-2024)“…Molecular imaging modalities show valuable non-invasive techniques capable of precisely and selectively addressing molecular markers associated with prostate…”
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Scandium calix[ n ]arenes ( n = 4, 6, 8): structural, cytotoxicity and ring opening polymerization studies
Published in Dalton transactions : an international journal of inorganic chemistry (22-06-2021)“…Interaction of [Sc(OR)3] (R = iPr or triflate) with p-tert-butylcalix[n]arenes, where n = 4, 6, or 8, affords a number of intriguing structural motifs, which…”
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Navigating challenges in radiography research: radiographers' perspectives in Saudi Arabia
Published in PeerJ (San Francisco, CA) (20-09-2024)“…Radiography is a crucial healthcare specialty that requires ongoing research to advance imaging technologies and techniques. Despite this, radiographers are…”
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Enhancing Brain Tumor Diagnosis: Transitioning From Convolutional Neural Network to Involutional Neural Network
Published in IEEE access (2023)“…] Accurate classification of brain tumors is essential for effective medical diagnosis and treatment planning. Traditional approaches rely on convolutional…”
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Advancing brain tumor detection: harnessing the Swin Transformer's power for accurate classification and performance analysis
Published in PeerJ. Computer science (29-02-2024)“…The accurate detection of brain tumors through medical imaging is paramount for precise diagnoses and effective treatment strategies. In this study, we…”
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Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks
Published in PeerJ. Computer science (03-11-2023)“…Brain tumor has become one of the fatal causes of death worldwide in recent years, affecting many individuals annually and resulting in loss of lives. Brain…”
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Assessment of Hounsfield Units and Factors Associated with Fragmentation of Renal Stones by Extracorporeal Shock Wave Lithotripsy: A Computerized Tomography Study
Published in Tomography (Ann Arbor) (01-01-2024)“…The success rate of extracorporeal shock wave lithotripsy (ESWL) is influenced by various factors, including stone density, and is determined through computed…”
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Synthesis, characterisation and ROP catalytic evaluation of Cu(II) complexes bearing 2,2ʹ-diphenylglycine-derived moieties
Published in Polyhedron (01-02-2021)“…[Display omitted] The synthesis, characterization and crystal structures of copper complexes with chelate ligation derived from the compound…”
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