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Wandile Nhlapho, Marcellin Atemkeng, Yusuf Brima and Jean-Claude Ndogmo
The advent of deep learning (DL) has revolutionized medical imaging, offering unprecedented avenues for accurate disease classification and diagnosis. DL models have shown remarkable promise for classifying brain tumors from Magnetic Resonance Imaging (M...
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Miranda Bellezza, Azzurra di Palma and Andrea Frosini
Alzheimer?s disease (AD) is a neurodegenerative disorder that leads to the loss of cognitive functions due to the deterioration of brain tissue. Current diagnostic methods are often invasive or costly, limiting their widespread use. Developing non-invasi...
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David Mattie, Zihang Fang, Emi Takahashi, Lourdes Peña Castillo and Jacob Levman
Diffusion magnetic resonance imaging (MRI) tractography is a powerful tool for non-invasively studying brain architecture and structural integrity by inferring fiber tracts based on water diffusion profiles. This study provided a thorough set of baseline...
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Mohd Tajularif Ibrahim, Nur Afiqah Hashim, Nasrul Anuar Abd Razak, Noor Azuan Abu Osman, Hossein Gholizadeh and Suryani Dyah Astuti
Increased pressure and shear stress distributions at the limb?socket interface are hypothesised to result from changes in the residual limb shape and volume, which can cause socket fit difficulties. Accurate residual limb volume measurements may aid clin...
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Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri...
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Xibin Wang, Qiong Zhou, Hui Li and Mei Chen
Imbalanced learning problems often occur in application scenarios and are additionally an important research direction in the field of machine learning. Traditional classifiers are substantially less effective for datasets with an imbalanced distribution...
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Fathyah Whba, Faizal Mohamed, Mohd Idzat Idris and Mohd Syukri Yahya
This study focused on surface modification of cellulose nanocrystals (CNCs) to create a biocompatible, stable, and hydrophilic substrate suitable for use as a coating agent to develop a dual-contrast composite material. The CNCs were prepared using acid ...
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Andrzej Urbanik, Monika Nardzewska-Szczepanik, Teresa Jadczak-Szumilo and Monika Ostrogórska
The study aimed to assess central nervous systems in children diagnosed with Fetal Alcohol Spectrum Disorder (FASD), using the techniques of magnetic resonance (MRI). The analyses considered 200 children, both female and male, aged 6?17 years, diagnosed ...
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You-Jin Jeong, Suchit Kumar, Seon-Woo Park, Youngkyu Song, Jee-Hyun Cho, Chan Hong Moon and Chang-Hyun Oh
This study presents the feasibility of a dual-mode high-pass birdcage RF coil to acquire MR images at both 1H and 23Na frequencies at ultra-high-field MR scanner, 7 T. A dual-mode circuit (DMC) in the dual-mode birdcage (DMBC) RF coil operates at two fre...
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Claudia Lucia Piccolo, Laura Cea, Martina Sbarra, Anna Maria De Nicola, Carlo De Cicco Nardone, Eliodoro Faiella, Rosario Francesco Grasso and Bruno Beomonte Zobel
Endometriosis is a chronic condition characterized by the presence of abnormal endometrial tissue outside the uterus. These misplaced cells are responsible for inflammation, symptoms, scar tissue and adhesions. Endometriosis manifests mainly in three pat...
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