Results 41 to 50 of about 480,856 (268)

Multi-Features Refinement and Aggregation for Medical Brain Segmentation

IEEE Access, 2020
Due to the complexity of the anatomical structure for human organs, medical image segmentation is always a challenging computer vision task. The Convolutional Neural Network (CNN) requires a rich feature representation, which not only needs the ...
Dongyuan Wu, Yi Ding, Mingfeng Zhang, Qiqi Yang, Zhiguang Qin   +4 more
doaj   +1 more source

Mapping Childhood Cancer Care Services in Oceania: Methodological Lessons From the SIOP Global Mapping Programme

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The International Paediatric Oncology Society Global Mapping Programme aims to collect data on global paediatric oncology services by continent, with Africa and Latin America completed. This study reports on the methodology and lessons learned for Oceania, a unique continent with resource disparity across countries, multiple small island ...
Trisha Soosay Raj, Christy Noble, Amy Gray, Daniel C. Moreira, Jennifer Lowe, Maite Gorostegui, Gwenda Anga, Andrew Soma, Milena Lay Dos Santos, Siobhan Cross, Erin Luttrell, Michael Sullivan, Julie Cayrol, Julia Challinor, Neil Ranasinghe, Jordana McLoone, Claire E. Wakefield   +16 more
wiley   +1 more source

FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Data Science and Engineering
Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal federation where clients share homogeneous data distribution and learning ...
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu   +4 more
doaj   +1 more source

Development and Implementation of a Disease‐Targeted Storybook as a Clinical Tool for Children With Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin, Usanarat Anurathapan, Rawiwan Roongpraiwan, Potchanee Dandamrongrak, Siriporn Nakhonchai, Pawin Numthavaj, Vilawan Chirdkiatgumchai   +6 more
wiley   +1 more source

Secure data deduplication

Proceedings of the 4th ACM international workshop on Storage security and survivability, 2008
As the world moves to digital storage for archival purposes, there is an increasing demand for systems that can provide secure data storage in a cost-effective manner. By identifying common chunks of data both within and between files and storing them only once, deduplication can yield cost savings by increasing the utility of a given amount of storage.
Storer, Mark W, Greenan, Kevin, Long, Darrell DE, Miller, Ethan L   +3 more
openaire   +3 more sources

Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas, Jakob Q. Weiss, Kellee N. Parker, Cathy Lee‐Miller   +3 more
wiley   +1 more source

Homomorphic encryption location privacy-preserving scheme based on Markov model

网络与信息安全学报, 2017
Homomorphic encryption location privacy-preserving scheme based on Markov mode was proposed to solve the problem of location privacy and query privacy protection in location-based service systems.
Kai ZHOU,Jian-qiong HE, Chang-gen PENG, Yi-jie ZHU   +2 more
doaj   +1 more source

Administering Blinatumomab via Continuous Intravenous Infusion in Pediatric Patients—A Single‐Institution Retrospective Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab, a CD19xCD3 bispecific T‐cell engager, has become standard therapy for children with de novo B‐cell acute lymphoblastic leukemia (B‐ALL). This retrospective review describes the experience of blinatumomab administration in pediatric patients.
Julia M. Hurley, Ryleigh Krueger, Kellie Joyce, James Stanley, Mary Waskerwitz‐Freyer, Marielle Klunder, David J. Hoogstra   +6 more
wiley   +1 more source

Prediction of recurrence after resection in hepatocellular carcinoma via whole liver deep learning on preoperative contrast-enhanced CT

Scientific Reports
This study aimed to develop a fully automated survival prediction (FASP) system that analyzes whole-liver regions from preoperative contrast-enhanced CT scans for predicting recurrence-free survival (RFS) after curative resection in Hepatocellular ...
Chao Huang, Yu Tian, Qi Zhang, Yiwei Gao, Peijun Hu, Yangyang Wang, Yingying Xu, Jing Liu, Weibin Wang, Tianshu Zhou, Mu Zhou, Jingsong Li   +11 more
doaj   +1 more source

Occurrence of Extramedullary Relapses in Pediatric Acute Lymphoblastic Leukemia After Treatment With Blinatumomab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz, Martin Ebinger, Michaela Döring, Markus Mezger, Ursula Holzer, Rupert Handgretinger, Peter Lang, Manon Queudeville   +7 more
wiley   +1 more source