AIMC Topic: Diagnostic Imaging

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[Promoting the application of federated learning in medical imaging artificial intelligence].

Zhonghua yi xue za zhi
Medical image-based artificial intelligence (AI) systems have shown great potential in assisting disease diagnosis and treatment. However, the challenges, such as data silos, privacy security and standardization, seriously impedes the application of ...

Color computational ghost imaging by deep learning based on simulation data training.

Applied optics
We present a new color computational ghost imaging strategy using a sole single-pixel detector and training by simulated dataset, which can eliminate the actual workload of acquiring experimental training datasets and reduce the sampling times for im...

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

JNCI cancer spectrum
Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other disorders. At a time when medical imaging is being transformed by digital technologies and artificial intelligence, understanding the basic perceptual...

Artificial Intellgence in the Era of Precision Oncological Imaging.

Technology in cancer research & treatment
Rapid-paced development and adaptability of artificial intelligence algorithms have secured their almost ubiquitous presence in the field of oncological imaging. Artificial intelligence models have been created for a variety of tasks, including risk ...

Detecting Oral Cancer: The Potential of Artificial Intelligence.

Current medical imaging
BACKGROUND: Physical inspection is a simple way to diagnose oral cancer. Most cases of oral cancer, on the contrary, are diagnosed late, resulting in needless mortality and morbidity. While highrisk screening populations appears to be helpful, these ...

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics.

PET clinics
Artificial intelligence (AI) techniques have significant potential to enable effective, robust, and automated image phenotyping including the identification of subtle patterns. AI-based detection searches the image space to find the regions of intere...

Trustworthy Artificial Intelligence in Medical Imaging.

PET clinics
Trust in artificial intelligence (AI) by society and the development of trustworthy AI systems and ecosystems are critical for the progress and implementation of AI technology in medicine. With the growing use of AI in a variety of medical and imagin...

A Survey on Machine Learning Based Medical Assistive Systems in Current Oncological Sciences.

Current medical imaging
BACKGROUND: Cancer is one of the life-threatening diseases which is affecting a large number of population worldwide. Cancer cells multiply inside the body without showing much symptoms on the surface of the skin, thereby making it difficult to predi...