[HTML][HTML] Pneumonia classification from X-ray images with inception-V3 and convolutional neural network
Pneumonia is one of the leading causes of death in both infants and elderly people, with
approximately 4 million deaths each year. It may be a virus, bacterial, or fungal, depending …
approximately 4 million deaths each year. It may be a virus, bacterial, or fungal, depending …
[HTML][HTML] Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis
Q Pei, Y Luo, Y Chen, J Li, D Xie, T Ye - Clinical Chemistry and …, 2022 - degruyter.com
Artificial intelligence (AI) is a branch of computer science that includes research in robotics,
language recognition, image recognition, natural language processing, and expert systems …
language recognition, image recognition, natural language processing, and expert systems …
[HTML][HTML] Scope of machine learning in materials research—A review
This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …
materials research across six key dimensions, redefining the field's boundaries. It explains …
[HTML][HTML] Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions
Motivation Medical image analysis involves a series of tasks used to assist physicians in
qualitative and quantitative analyses of lesions or anatomical structures which can …
qualitative and quantitative analyses of lesions or anatomical structures which can …
Magnetic resonance imaging versus computed tomography for Three‐Dimensional bone imaging of musculoskeletal pathologies: a review
MC Florkow, K Willemsen… - Journal of Magnetic …, 2022 - Wiley Online Library
Magnetic resonance imaging (MRI) is increasingly utilized as a radiation‐free alternative to
computed tomography (CT) for the diagnosis and treatment planning of musculoskeletal …
computed tomography (CT) for the diagnosis and treatment planning of musculoskeletal …
[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …
aiming to overcome the challenges associated with acquiring multiple image modalities for …
[HTML][HTML] Quality assurance for AI-based applications in radiation therapy
Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT)
and their integration into modern software-based systems raise new challenges to the …
and their integration into modern software-based systems raise new challenges to the …
A review on AI in PET imaging
K Matsubara, M Ibaraki, M Nemoto, H Watabe… - Annals of Nuclear …, 2022 - Springer
Artificial intelligence (AI) has been applied to various medical imaging tasks, such as
computer-aided diagnosis. Specifically, deep learning techniques such as convolutional …
computer-aided diagnosis. Specifically, deep learning techniques such as convolutional …
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
Digital twins employ mathematical and computational models to virtually represent a
physical object (eg, planes and human organs), predict the behavior of the object, and …
physical object (eg, planes and human organs), predict the behavior of the object, and …