Results 41 to 50 of about 6,105,660 (335)

Image Fusion With Cosparse Analysis Operator

, 2017
The paper addresses the image fusion problem, where multiple images captured with different focus distances are to be combined into a higher quality all-in-focus image.
Gao, Rui, Vorobyov, Sergiy A., Zhao, Hong   +2 more
core   +1 more source

Remote Sensing Upside Down: Exploring the Potential of Ground-Based Multispectral Cameras for Tree Crown Monitoring [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Recent advancements in remote sensing have enabled increasingly detailed analysis of forest canopies using a range of platforms, from satellites to ground-based systems.
M. Goebel, L. Wolf, F. Packwitz, D. Iwaszczuk   +3 more
doaj   +1 more source

A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers

Frontiers in Microbiology, 2022
In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification. However, image classification of small EM datasets has still not obtained good research results. Therefore, researchers need to spend
Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek   +7 more
doaj   +1 more source

Difference Image Analysis of Galactic Microlensing I. Data Analysis

, 1999
This is a preliminary report on the application of Difference Image Analysis (DIA) to galactic bulge images. The aim of this analysis is to increase the sensitivity to the detection of gravitational microlensing.
A. C. Becker, A. J. Drake, A. Tomaney, Alard C., Alard C., Alard C., Ansari R., B. A. Peterson, Bailion P., Beaulieu J. P., C. Alcock, C. W. Stubbs, D. Alves, D. L. Welch, D. Minniti, D. P. Bennett, Dominik M., K. C. Freeman, K. Griest, K. H. Cook, M. J. Lehner, M. R. Pratt, Marshall S., Melchior A.-L., Nemiroff R. J., P. J. Quinn, R. A. Allsman, S. L. Marshall, T. S. Axelrod, T. Vandehei, Udalski A., W. Sutherland   +31 more
core   +1 more source

A New Method for Segmentation of Colour Images Applied to Immunohistochemically Stained Cell Nuclei

Analytical Cellular Pathology, 1997
A new method for segmenting images of immunohistochemically stained cell nuclei is presented. The aim is to distinguish between cell nuclei with a positive staining reaction and other cell nuclei, and to make it possible to quantify the reaction.
Petter Ranefall, Lars Egevad, Bo Nordin, Ewert Bengtsson   +3 more
doaj   +1 more source

Causality matters in medical imaging

Nature Communications, 2020
Scarcity of high-quality annotated data and mismatch between the development dataset and the target environment are two of the main challenges in developing predictive tools from medical imaging. In this Perspective, the authors show how causal reasoning
Daniel C. Castro, Ian Walker, Ben Glocker   +2 more
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Integrating Crowd-sourced Annotations of Tree Crowns using Markov Random Field and Multispectral Information [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Benefiting from advancements in algorithms and computing capabilities, supervised deep learning models offer significant advantages in accurately mapping individual tree canopy cover, which is a fundamental component of forestry management.
Q. Mei, J. Steier, D. Iwaszczuk
doaj   +1 more source

Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks

Frontiers in Neuroscience, 2022
Pediatric medical imaging represents a real challenge for physicians, as children who are patients often move during the examination, and it causes the appearance of different artifacts in the images.
Juan Manuel Molina-Maza, Adrian Galiana-Bordera, Mar Jimenez, Norberto Malpica, Angel Torrado-Carvajal   +4 more
doaj   +1 more source

Image analysis in heat transfer. [PDF]

, 2008
Cílem této práce je porovnat vysoko tlaké vodní trysky a vysvětlit čtenáři použité metody. Matematické metody použité v programu jsou také uvedeny v této práci.The object of this work is to describe and compare water tracks of high pressure nozzles and ...
Hnízdil, Milan
core