Results 31 to 40 of about 2,775,880 (287)

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, Abdelkarim Ait Temghart, Fatima Sifou, Feda AlShahwan   +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

On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation

, 2018
Uncertainty estimation methods are expected to improve the understanding and quality of computer-assisted methods used in medical applications (e.g., neurosurgical interventions, radiotherapy planning), where automated medical image segmentation is ...
Blatti-Moreno, Marcela, Ermis, Ekin, Herrmann, Evelyn, Jungo, Alain, Meier, Raphael, Reyes, Mauricio, Wiest, Roland   +6 more
core   +1 more source

Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis

, 2019
The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features that can impact a variety of image analysis problems.
Ahn, Euijoon, Feng, Dagan, Fulham, Michael, Kim, Jinman, Kumar, Ashnil   +4 more
core   +1 more source

Automatic Thalamus Segmentation from Magnetic Resonance Images Using Multiple Atlases Level Set Framework (MALSF)

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, Zhentai Lu, Qianjin Feng, Yu Zhang   +3 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, Yuting Geng, Xiangbo Meng, Jun Liu, Weimin Lei, Yingyou Wen   +5 more
doaj   +1 more source

Regression to Classification: Ordinal Prediction of Calcified Vessels Using Customized ResNet50

IEEE Access, 2023
A substantial percentage of women die from cardiovascular disease (CVD). Computed tomography (CT) scan helps predict/monitor CVD-related diseases. However, previous studies found relation to assessing the risk of CVD by estimating severity of breast ...
Hosna Asma-Ull, Il Dong Yun, Bo La Yun
doaj   +1 more source

Preoperative visualization of mammary artery for breast reduction surgery based on computed tomography angiography

The Egyptian Journal of Radiology and Nuclear Medicine
Background 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, Jigang Geng, Dayong Jin, Yinhu Zhu, Xin Li, Lei Wang, Yue Qin   +6 more
doaj   +1 more source

Adversarial Inpainting of Medical Image Modalities

, 2018
Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans.
Armanious, Karim, Gatidis, Sergios, Mecky, Youssef, Yang, Bin   +3 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

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, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source