Results 41 to 50 of about 2,753,246 (237)
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 We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan +5 more
wiley +1 more source
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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Medical image denoising using convolutional denoising autoencoders
, 2016 Image denoising is an important pre-processing step in medical image analysis. Different algorithms have been proposed in past three decades with varying denoising performances.
Gondara, Lovedeep
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
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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Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
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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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Pediatric Blood &Cancer, EarlyView.Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard +11 more
wiley +1 more source
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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