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Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Dental cone beam CT: An updated review
Cone beam computed tomography (CBCT) is a diverse 3D x-ray imaging technique that has
gained significant popularity in dental radiology in the last two decades. CBCT overcomes …
gained significant popularity in dental radiology in the last two decades. CBCT overcomes …
[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
Bringing MRI to low‐and middle‐income countries: directions, challenges and potential solutions
S Murali, H Ding, F Adedeji, C Qin… - NMR in …, 2024 - Wiley Online Library
The global disparity of magnetic resonance imaging (MRI) is a major challenge, with many
low‐and middle‐income countries (LMICs) experiencing limited access to MRI. The reasons …
low‐and middle‐income countries (LMICs) experiencing limited access to MRI. The reasons …
[HTML][HTML] Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits
Grapevine phenoty** is the process of determining the physical properties (eg, size,
shape, and number) of grape bunches and berries. Grapevine phenoty** information …
shape, and number) of grape bunches and berries. Grapevine phenoty** information …
[Књига][B] Introduction to biomedical imaging
A Webb - 2022 - books.google.com
Introduction to BiomedicalImaging A state-of-the-art exploration of the foundations and latest
developments in biomedical imaging technology In the newly revised second edition of …
developments in biomedical imaging technology In the newly revised second edition of …
Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks
SAH Ourang, F Sohrabniya… - International …, 2024 - Wiley Online Library
The integration of artificial intelligence (AI) in healthcare has seen significant advancements,
particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry …
particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry …
Basic of machine learning and deep learning in imaging for medical physicists
L Manco, N Maffei, S Strolin, S Vichi, L Bottazzi… - Physica Medica, 2021 - Elsevier
The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography
Purpose To perform a comprehensive intraindividual objective and subjective image quality
evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image …
evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image …
The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review
Conventional reconstruction techniques, such as filtered back projection (FBP) and iterative
reconstruction (IR), which have been utilised widely in the image reconstruction process of …
reconstruction (IR), which have been utilised widely in the image reconstruction process of …