Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals
Objective To study trends in the incidence of reported pulmonary nodules and stage I lung
cancer in chest CT. Methods We analyzed the trends in the incidence of detected pulmonary …
cancer in chest CT. Methods We analyzed the trends in the incidence of detected pulmonary …
[HTML][HTML] Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back …
S Pendem, PS Priya, C Chacko, R Kadavigere - F1000Research, 2024 - ncbi.nlm.nih.gov
Background The most recent advances in Computed Tomography (CT) image
reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to …
reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to …
[HTML][HTML] Survey on fan-beam computed tomography for radiotherapy: Imaging for dose calculation and delineation
E Decabooter, GC Hilgers, J De Rouck, K Salvo… - Physics and Imaging in …, 2024 - Elsevier
Background and purpose To obtain an understanding of current practice, professional
needs and future directions in the field of fan-beam CT in RT, a survey was conducted. This …
needs and future directions in the field of fan-beam CT in RT, a survey was conducted. This …
[PDF][PDF] Diagnostic approach to focal liver lesions at cross-sectional imaging: a primer for beginners.
A Borgheresi, A Agostini, L Pierpaoli… - European Review for …, 2023 - europeanreview.org
Liver imaging encompasses a broad spectrum of diseases in different clinical backgrounds.
The available literature is vast and reported data often lacks standardization. Because of all …
The available literature is vast and reported data often lacks standardization. Because of all …
New Frontiers in Oncological Imaging With Computed Tomography: From Morphology to Function
A Agostini, A Borgheresi, F Mariotti, L Ottaviani… - Seminars in Ultrasound …, 2023 - Elsevier
The latest evolutions in Computed Tomography (CT) technology have several applications
in oncological imaging. The innovations in hardware and software allow for the optimization …
in oncological imaging. The innovations in hardware and software allow for the optimization …
[PDF][PDF] Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back …
M Obhuli Chandran, S Pendem, PS Priya, C Chacko - researchgate.net
Background The most recent advances in Computed Tomography (CT) image
reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to …
reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to …