Results 21 to 30 of about 8,529,560 (374)
Uniqueness of radiomic features in non‐small cell lung cancer
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
IMAGE SHARPENING WITH BLUR MAP ESTIMATION USING CONVOLUTIONAL NEURAL NETWORK [PDF]
We propose a method for choosing optimal values of the parameters of image sharpening algorithm for out-of-focus blur based on grid warping approach. The idea of the considered sharpening algorithm is to move pixels from the edge neighborhood towards the
A. Nasonov, A. Krylov, D. Lyukov
doaj +1 more source
In this study, we analyze the family of generalized (h,e)-implications. We determine when this family fulfills some of the main additional properties of fuzzy implication functions and we obtain a representation theorem that describes the structure of a ...
Raquel Fernandez-Peralta+2 more
doaj +1 more source
Mathematical Methods for Medical Imaging [PDF]
Computational anatomy is an emergingdiscipline at the interface of geometry, statistics and image analysis which aims at modeling and analyzing the biological shape of tissues and organs. The goal is to estimate representative organ anatomies across diseases, populations, species or ages, to model the organ development across time (growth or aging), to
Pennec, Xavier+2 more
openaire +4 more sources
Mathematics in Biomedical Imaging [PDF]
L'imagerie biomédicale est d'une importance cruciale pour les sciences de la vie et les soins de santé. Dans ce domaine en rapide évolution, les mathématiques sont l'un des outils les plus puissants pour développer la reconstruction d'images ainsi que la théorie et les méthodes de traitement d'images.
Ming Jiang+6 more
openaire +4 more sources
The set of all the possible compromises of a multi-level multi-objective linear programming problem
In this paper, a new approach is developed to solve multi-level multi-objective linear programming problems (ML-MOLPP), by providing the set of all the compromises without taking into account the hierarchy of the problem.
Mustapha Kaci, Sonia Radjef
doaj +1 more source
Multiple sclerosis clinical decision support system based on projection to reference datasets
Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch+13 more
wiley +1 more source
Brain Relatively Inert Network: Taking Adult Attention Deficit Hyperactivity Disorder as an Example
Resting-state functional MRI (rs-fMRI) has been increasingly applied in the research of brain cognitive science and psychiatric diseases. However, previous studies only focused on specific activation areas of the brain, and there are few studies on the ...
Hua Zhang+5 more
doaj +1 more source
Pengaplikasian Media Pembelajaran Visual pada Pembelajaran Matematika Sekolah Dasar Bina Bangsa [PDF]
In this research, we aim to find out the media used by teachers when learning in the classroom. With the application of visual learning media in mathematics lessons at the National Development School to attract students' attention to be even more ...
Handayani, Nurul Rika+4 more
core +2 more sources
Morphology for Image Processing. Part I [PDF]
In this article we defined mathematical morphology image processing with set operations. First, we defined Minkowski set operations and proved their properties.
Beata Padlewska+12 more
core +2 more sources