Results 61 to 70 of about 2,775,880 (287)

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Medical image analysis

Medical Image Analysis, 1999
Medical Image Analysis 3 (1999) 407-407.
Department of CISE, University of Florida U.S.A. ( host institution ), Vemuri, Baba C. ( author ), Duncan, James ( author )   +2 more
openaire   +2 more sources

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim, Natalie Bradford, David Brain, Sameera Senanayake, Sanjeewa Kularatna, Kate Young, Christine Cashion, Tim Hassall, Susanna Cramb   +8 more
wiley   +1 more source

The potential of federated learning for self-configuring medical object detection in heterogeneous data distributions

Scientific Reports
Medical Object Detection (MOD) is a clinically relevant image processing method that locates structures of interest in radiological image data at object-level using bounding boxes.
Gabriel Rashidi, Dimitrios Bounias, Markus Bujotzek, Andrés Martínez Mora, Peter Neher, Klaus H. Maier-Hein   +5 more
doaj   +1 more source

Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer: a comprehensive comparative study

Intelligent Medicine
Background With the gradual increase of infertility in the world, among which male sperm problems are the main factor for infertility, more and more couples are using computer-assisted sperm analysis (CASA) to assist in the analysis and treatment of ...
Ao Chen, Chen Li, Md Mamunur Rahaman, Yudong Yao, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Ning Xu, Marcin Grzegorzek   +11 more
doaj   +1 more source

Leveraging Disease Progression Learning for Medical Image Recognition

, 2018
Unlike natural images, medical images often have intrinsic characteristics that can be leveraged for neural network learning. For example, images that belong to different stages of a disease may continuously follow a certain progression pattern.
Fevens, Thomas, Lao, Qicheng, Wang, Boyu
core   +1 more source

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter, Jens‐Peter Schenk, Jenny Wegert, Manfred Gessler, Leo Kager, Stefan Wagenpfeil, Marina Müller, Jean‐Michel Wolff, Joerg Fuchs, Steven W. Warmann, Clemens‐Magnus Meier, Jochen Hubertus, Christian Rübe, Christian Vokuhl, Patrick Melchior, Lena Tschirner, Norbert Graf, Rhoikos Furtwängler   +17 more
wiley   +1 more source

Automatically Designing CNN Architectures for Medical Image Segmentation

, 2018
Deep neural network architectures have traditionally been designed and explored with human expertise in a long-lasting trial-and-error process. This process requires huge amount of time, expertise, and resources.
A Mortazi, KO Stanley, O Ronneberger
core   +1 more source

Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan, Lydie Da Costa, Ludivine David Nguyen, Heloise Chosseler, Audrey Riquet, Benedicte Bruno, Melissa Barbati   +6 more
wiley   +1 more source

A High‐Sensitivity Circulating Nucleic Acid Sequencing Assay for Assessing Treatment Response to Alectinib in a Pediatric Patient With ALK‐Rearranged Non–Small Cell Lung Cancer

Pediatric Blood &Cancer, EarlyView.
Alberto D. Guerra, Nicholas F. Evageliou, Vandana Batra, Kristen L. Dalton, Stephanie Ortel, Usman Ashraf, Tricia R. Bhatti, Lisa J. States, Lea F. Surrey, Theodore W. Laetsch   +9 more
wiley   +1 more source