Results 71 to 80 of about 13,515,348 (328)

Parent Quality of Life at Two Years Following Their Child's Completion of Acute Lymphoblastic Leukemia Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra, Maria McCarthy, Michael Takagi, Cinzia De Luca   +3 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, Asad Ullah, Fuad A. Awwad, Emad A. A. Ismail   +3 more
doaj   +1 more source

Deep Convolutional Neural Networks in Medical Image Analysis: A Review

Inf.
Deep convolutional neural networks (CNNs) have revolutionized medical image analysis by enabling the automated learning of hierarchical features from complex medical imaging datasets.
Ibomoiye Domor Mienye, Theo G. Swart, G. Obaido, Matt Jordan, Philip Ilono   +4 more
semanticscholar   +1 more source

Medical ultrasound imaging

Progress in Biophysics and Molecular Biology, 2007
The paper gives an introduction to current medical ultrasound imaging systems. The basics of anatomic and blood flow imaging are described. The properties of medical ultrasound and its focusing are described, and the various methods for two- and three-dimensional imaging of the human anatomy are shown.
openaire   +2 more sources

Rapid Response to Trametinib Combined With Chemotherapy for Infant BRAF‐Fused Chiasmatic Glioma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Infants, less than 1 year, with chiasmatic gliomas (ICG) present a major therapeutic challenge due to large tumor size, decreased vision, rapid progression, and poor response to vincristine/carboplatin chemotherapy. The majority have a BRAF fusion, which may respond to downstream MEK inhibitors but response time is slow. There are no safety or
Helen Toledano, Alexander Yelak, Walid Kaadan, Shlomo Caduri, Rivka Friedland, Orli Michaeli, Gad Dotan, Osnat Konen   +7 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, Bing Wan, Bingbing Hu, Ming Zhao, Kang Li, Xu Ye   +5 more
doaj   +1 more source

A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration

, 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
Berendsen, Floris F., de Vos, Bob D., Isgum, Ivana, Sokooti, Hessam, Staring, Marius, Viergever, Max A.   +5 more
core   +2 more sources

Cognitive Functioning in Vorinostat‐Treated Pediatric and Young Adult Patients Over the First 180 Days After Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba, Michelle Rozwadowski, Thomas Braun, April Rahrig, Edward Peres, Kirsten M. Williams, Vanessa Fabrizio, Julie‐An Talano, Carrie L. Kitko, Nicolas Parnell, Pavan Reddy, Sung Won Choi   +11 more
wiley   +1 more source

Point-Sampling Method Based on 3D U-Net Architecture to Reduce the Influence of False Positive and Solve Boundary Blur Problem in 3D CT Image Segmentation

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
doaj   +1 more source

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
core   +1 more source