Results 41 to 50 of about 1,481,089 (317)
Medical image enhancement using threshold decomposition driven adaptive morphological filter [PDF]
, 2008 One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image.
Mahmoud, Tarek A. +4 more
core +1 more source
Scientific Reports, 2017 In this paper, we present an original multiple atlases level set framework (MALSF) for automatic, accurate and robust thalamus segmentation in magnetic resonance images (MRI). The contributions of the MALSF method are twofold.
Minghui Zhang +3 more
doaj +1 more source
Lumbar Disc Herniation Automatic Detection in Magnetic Resonance Imaging Based on Deep Learning
Frontiers in Bioengineering and Biotechnology, 2021 Background: Lumbar disc herniation (LDH) is among the most common causes of lower back pain and sciatica. The causes of LDH have not been fully elucidated but most likely involve a complex combination of mechanical and biological processes.
Jen-Yung Tsai +10 more
doaj +1 more source
The Egyptian Journal of Radiology and Nuclear MedicineBackground Macromastia, characterized by an increase in breast size, poses challenges such as elevated body burden and chest oppression, potentially leading to cardiac and pulmonary overload.
Xiaoshi Li +6 more
doaj +1 more source
Cache-Enabled Device to Device Networks With Contention-Based Multimedia Delivery
IEEE Access, 2017 This paper studies the performance of large-scale cache-enabled device-to-device (D2D) networks with homogeneous Poisson point process distributed mobile helpers(MHs) and user equipments (UEs). The MHs are assumed to have caching capabilities and able to
Xiaoshi Song +5 more
doaj +1 more source
A Cloud Solution for Securing Medical Image Storage
Journal of Information and Organizational Sciences, 2020 Cloud computing is an easy-to-use, affordable solution to manage and analyze medical data. Therefore, this paradigm has gained wide acceptance in the healthcare sector as a cost-efficient way for a successful Electronic Medical Records (EMR ...
Mbarek Marwan +3 more
doaj +1 more source
Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning
Frontiers in Artificial Intelligence, 2021 Cervical cancer is a very common and severe disease in women worldwide. Accurate prediction of its clinical outcomes will help adjust or optimize the treatment of cervical cancer and benefit the patients.
Wei Luo
doaj +1 more source
Pediatric 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
Distance Regularized Level Set Evolution for Medical Image Segmentation [PDF]
, 2013 Medical image is an important tool because it can be used for surgical planning and simulation, radiotherapy planning, and tracking the progress of disease. To analyze the medical image, it must partitioned into different segment using image segmentation
Pranowo, Pranowo, Rianto , Indra
core
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source