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 …
Deep learning in medical imaging and radiation therapy
The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
[HTML][HTML] Bio-acceptable 0D and 1D ZnO nanostructures for cancer diagnostics and treatment
B Ortiz-Casas, A Galdamez-Martinez… - Materials Today, 2021 - Elsevier
As bioapplications of 0D and 1D zinc oxide (ZnO) seem a recent development, they have
brought many exciting proposals showing exquisite signs as sensors and assay platforms …
brought many exciting proposals showing exquisite signs as sensors and assay platforms …
Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning
Tomographic imaging using penetrating waves generates cross-sectional views of the
internal anatomy of a living subject. For artefact-free volumetric imaging, projection views …
internal anatomy of a living subject. For artefact-free volumetric imaging, projection views …
Machine learning techniques for biomedical image segmentation: an overview of technical aspects and introduction to state‐of‐art applications
H Seo, M Badiei Khuzani, V Vasudevan… - Medical …, 2020 - Wiley Online Library
In recent years, significant progress has been made in developing more accurate and
efficient machine learning algorithms for segmentation of medical and natural images. In this …
efficient machine learning algorithms for segmentation of medical and natural images. In this …
Application of artificial intelligence for the diagnosis and treatment of liver diseases
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database
Pneumonia is a bacterial, viral, or fungal infection of one or both sides of the lungs that
causes lung alveoli to fill up with fluid or pus, which is usually diagnosed with chest x-rays …
causes lung alveoli to fill up with fluid or pus, which is usually diagnosed with chest x-rays …
[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …
with clinical applications progressively being explored for most of the medical specialties …
[HTML][HTML] Artificial intelligence in medical imaging of the liver
LQ Zhou, JY Wang, SY Yu, GG Wu, Q Wei… - World journal of …, 2019 - ncbi.nlm.nih.gov
Artificial intelligence (AI), particularly deep learning algorithms, is gaining extensive attention
for its excellent performance in image-recognition tasks. They can automatically make a …
for its excellent performance in image-recognition tasks. They can automatically make a …
Introduction to machine and deep learning for medical physicists
Recent years have witnessed tremendous growth in the application of machine learning
(ML) and deep learning (DL) techniques in medical physics. Embracing the current big data …
(ML) and deep learning (DL) techniques in medical physics. Embracing the current big data …