Results 41 to 50 of about 554,094 (312)

Nonlinear signal processing for vocal folds damage detection based on heterogeneous sensor network [PDF]

open access: yes, 2016
Heterogeneous sensor network-based medical decision making could facilitate the patient diagnosis process. In this paper, we present an intelligent approach for vocal folds damage detection based on patient's vowel voices using heterogeneous sensor ...
Zhen Zhong   +7 more
core   +1 more source

Hardware Architectures for Real-Time Medical Imaging [PDF]

open access: yes, 2021
Medical imaging is considered one of the most important advances in the history of medicine and has become an essential part of the diagnosis and treatment of patients.
Yahyaoui, Imene   +31 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Directional analysis of intensity changes for determining the existence of cyst in optical coherence tomography images

open access: yesScientific Reports, 2022
Diabetic retinopathy (DR) is an important cause of blindness in people with the long history of diabetes. DR is caused due to the damage to blood vessels in the retina.
Maryam Monemian, Hossein Rabbani
doaj   +1 more source

Recent advances in signal processing in medical tomography [PDF]

open access: yes, 2012
[[abstract]]Discusses some of the important signal processing problems that arise in recent medical imaging modalities, namely computed tomography (CT) and magnetic resonance (MR) imaging.
Sezan, M.I.;Stark, H.;Oskoui-Fard, P.;Peng, H.;Yudilevich, E.
core  

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho   +7 more
wiley   +1 more source

Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence

open access: yesJournal of Imaging
Astrocytoma is the most common type of brain glioma and is classified by the World Health Organization into four grades, providing prognostic insights and guiding treatment decisions.
Christos Ch. Andrianos   +6 more
doaj   +1 more source

Dual-Tree Complex Wavelet Input Transform for Cyst Segmentation in OCT Images Based on a Deep Learning Framework

open access: yesPhotonics, 2022
Optical coherence tomography (OCT) represents a non-invasive, high-resolution cross-sectional imaging modality. Macular edema is the swelling of the macular region.
Reza Darooei   +3 more
doaj   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye   +33 more
wiley   +1 more source

Assessing the deep learning based image quality enhancements for the BGO based GE omni legend PET/CT

open access: yesEJNMMI Physics
Background This study investigates the integration of Artificial Intelligence (AI) in compensating the lack of time-of-flight (TOF) of the GE Omni Legend PET/CT, which utilizes BGO scintillation crystals.
Meysam Dadgar   +4 more
doaj   +1 more source

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