Results 41 to 50 of about 18,640,676 (284)
IEEE Access, 2020 In this paper, a novel de-ghosting image fusion technique is presented, which enhances the quality of low dynamic range images using multi-level exposures taken from the ordinary camera and also removes the ghosting artifact.
Muhammad Sohaib Roomi +5 more
doaj +1 more source
Generative Multi-Focus Image Fusion
CoRRMulti-focus image fusion aims to generate an all-in-focus image from a sequence of partially focused input images. Existing fusion algorithms generally assume that, for every spatial location in the scene, there is at least one input image in which that location is in focus.
Xinzhe Xie +6 more
openaire +2 more sources
Ewing Sarcoma in Infants and Children Under 2 Years of Age: A French Retrospective Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ewing sarcoma, the second most common primary bone cancer in children, requires intensive treatment that may lead to significant long‐term sequelae, particularly in infants. We retrospectively analyzed data from 1621 French patients treated between 1988 and 2015 within the EW88/93/97 or EE99 trials, focusing on 17 infants diagnosed before 24 ...
Elodie Verdier +18 more
wiley +1 more source
Feature-Level Multi-focus Image Fusion using Neural Network and Image Enhancement [PDF]
, 2012 Image Processing applications have grown vastly in real world. Commonly due to limited depth of optical field lenses, it becomes inconceivable to obtain an image where all the objects are in focus.
Dr. G. Mamatha +2 more
core
Multi focus image fusion with region-center based kernel [PDF]
, 2021 The usage of the camera is ubiquitous nowadays. It provides highly accurate information. Then, the camera helps humans to carry out their specific tasks correctly.
Kamarul Hawari, Ghazali, Ismail, .
core +1 more source
Multi-Focus Image Fusion Algorithm in Sensor Networks
IEEE Access, 2018 Most imaging systems have a limited depth-of-field in the sensor networks that consist of multiple visual sensors. Due to different object distances, not every object can be clearly imaged by a single sensor.
Ying Tong, Jin Chen
doaj +1 more source
Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega +10 more
wiley +1 more source
Experiments with multi-view multi-instance learning for supervised image classification [PDF]
, 2011 In this paper we empirically investigate the benefits of multi-view multi-instance (MVMI) learning for supervised image classification. In multi-instance learning, examples for learning contain bags of feature vectors and thus data from different views ...
Mayo, Michael, Frank, Eibe
core
Semantic, Automatic Image Annotation Based On Multi-Layered Active Contours and Decision Trees [PDF]
, 2013 In this paper, we propose a new approach for automatic image annotation (AIA) in order to automatically and efficiently assign linguistic concepts to visual data such as digital images, based on both numeric and semantic features.
Olszewska, Joanna Isabelle
core +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens +6 more
wiley +1 more source