Results 41 to 50 of about 2,775,880 (287)
Deep Learning Applications in Medical Image Processing
Acta Infologica, 2021 Medical imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), mammography, ultrasound and x-ray have been used for the diagnosis and treatment of diseases for many years.
Ayşe Gül Eker, Nevcihan Duru
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie +4 more
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A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images
Diagnostics, 2023 Breast cancer is one of the most prevalent cancers among women worldwide, and early detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment to begin faster, increasing the chances of a successful outcome.
Salman Zakareya +2 more
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Clinical Insights Into Hypercalcemia of Malignancy in Childhood
Pediatric Blood &Cancer, EarlyView.ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
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Analysis of the Corneal Geometry of the Human Eye with an Artificial Neural Network
Fractal and Fractional, 2023 In this paper, a hybrid cuckoo search technique is combined with a single-layer neural network (BHCS-ANN) to approximate the solution to a differential equation describing the curvature shape of the cornea of the human eye.
Waseem +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Deep learning-based magnetic resonance image segmentation technique for application to glioma
Frontiers in Medicine, 2023 IntroductionBrain glioma segmentation is a critical task for medical diagnosis, monitoring, and treatment planning.DiscussionAlthough deep learning-based fully convolutional neural networks have shown promising results in this field, their unstable ...
Bing Wan +5 more
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Medical imaging strategies [PDF]
Journal of Digital Imaging, 1988 Computed tomography (CT), intravenous digital subtraction angiography (IV-DSA), digital radiographic image processing and dual energy subtraction are four examples of medical imaging strategies that have met with various degrees of success as judged by diagnostic performance.
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MinMax Radon Barcodes for Medical Image Retrieval
, 2016 Content-based medical image retrieval can support diagnostic decisions by clinical experts. Examining similar images may provide clues to the expert to remove uncertainties in his/her final diagnosis.
A Kadyrov +11 more
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Applied Sciences, 2020 Malignant lesions are a huge threat to human health and have a high mortality rate. Locating the contour of organs is a preparation step, and it helps doctors diagnose correctly.
Chen Li, Wei Chen, Yusong Tan
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