Results 71 to 80 of about 601,325 (317)
Artificial intelligence-assisted diagnosis of ocular surface diseases
Frontiers in Cell and Developmental Biology, 2023 With the rapid development of computer technology, the application of artificial intelligence (AI) in ophthalmology research has gained prominence in modern medicine.
Zuhui Zhang +8 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
Easy Diagnosis of Asthma: Computer-Assisted, Symptom-Based Diagnosis [PDF]
Journal of Korean Medical Science, 2007 Diagnosis of asthma is often challenging in primary-care physicians due to lack of tools measuring airway obstruction and variability. Symptom-based diagnosis of asthma utilizing objective diagnostic parameters and appropriate software would be useful in clinical practice.
Choi, Byoung Whui +13 more
openaire +2 more sources
, 2018 We aim at segmenting small organs (e.g., the pancreas) from abdominal CT scans. As the target often occupies a relatively small region in the input image, deep neural networks can be easily confused by the complex and variable background.
Fishman, Elliot K. +5 more
core +1 more source
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source
IEEE Transactions on Medical Imaging, 2019 Hyper-graph techniques have been widely investigated in computer vision and medical imaging applications, showing superior performance for modeling complex subject-wise relationships and sufficient flexibility to deal with missing data from multi-modal ...
Yingying Zhu +5 more
semanticscholar +1 more source
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 +8 more
wiley +1 more source
Machine Learning Methods for Histopathological Image Analysis
Computational and Structural Biotechnology Journal, 2018 Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques.
Daisuke Komura, Shumpei Ishikawa
doaj +1 more source
Automated Detection Algorithm of Breast Masses in Three-Dimensional Ultrasound Images [PDF]
Healthcare Informatics Research, 2016 ObjectivesWe propose an automatic breast mass detection algorithm in three-dimensional (3D) ultrasound (US) images using the Hough transform technique.MethodsOne hundred twenty-five cropped images containing 68 benign and 60 malignant masses are acquired
Ji-Wook Jeong +3 more
doaj +1 more source
Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study
, 2015 Potentially precancerous polyps detected with CT colonography (CTC) need to be removed subsequently, using an optical colonoscope (OC). Due to large colonic deformations induced by the colonoscope, even very experienced colonoscopists find it difficult ...
Halligan, Steve +6 more
core +1 more source