AIMC Topic: Diagnostic Imaging

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Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview.

World journal of gastroenterology Dec 7, 2022
Gastrointestinal (GI) cancers are the major cause of cancer-related mortality globally. Medical imaging is an important auxiliary means for the diagnosis, assessment and prognostic prediction of GI cancers. Radiomics is an emerging and effective tech...
Humans Machine Learning Prognosis Deep Learning Diagnostic Imaging Gastrointestinal Neoplasms
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Noise-robust deep learning ghost imaging using a non-overlapping pattern for defect position mapping.

Applied optics Dec 1, 2022
Defect detection requires highly sensitive and robust inspection methods. This study shows that non-overlapping illumination patterns can improve the noise robustness of deep learning ghost imaging (DLGI) without modifying the convolutional neural ne...
Neural Networks, Computer Deep Learning Diagnostic Imaging
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Artificial intelligence 101 for veterinary diagnostic imaging.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Dec 1, 2022
The prevalence and pervasiveness of artificial intelligence (AI) with medical images in veterinary and human medicine is rapidly increasing. This article provides essential definitions of AI with medical images with a focus on veterinary radiology. M...
Humans Artificial Intelligence Machine Learning Animals Deep Learning Diagnostic Imaging Radiology
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Recommendations for the development and use of imaging test sets to investigate the test performance of artificial intelligence in health screening.

The Lancet. Digital health Dec 1, 2022
Rigorous evaluation of artificial intelligence (AI) systems for image classification is essential before deployment into health-care settings, such as screening programmes, so that adoption is effective and safe. A key step in the evaluation process ...
Artificial Intelligence Mass Screening Diagnostic Imaging
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Anti-noise computational imaging using unsupervised deep learning.

Optics express Nov 7, 2022
Computational imaging enables spatial information retrieval of objects with the use of single-pixel detectors. By combining measurements and computational methods, it is possible to reconstruct images in a variety of situations that are challenging o...
Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Photons
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Single-pixel imaging for edge images using deep neural networks.

Applied optics Sep 10, 2022
Edge images are often used in computer vision, cellular morphology, and surveillance cameras, and are sufficient to identify the type of object. Single-pixel imaging (SPI) is a promising technique for wide-wavelength, low-light-level measurements. Co...
Neural Networks, Computer Diagnostic Imaging Photic Stimulation
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Edge detection in single multimode fiber imaging based on deep learning.

Optics express Aug 15, 2022
We propose a new edge detection scheme based on deep learning in single multimode fiber imaging. In this scheme, we creatively design a novel neural network, whose input is a one-dimensional light intensity sequence, and the output is the edge detect...
Neural Networks, Computer Computer Simulation Deep Learning Diagnostic Imaging
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Relationship between the kernel size of a convolutional layer and the optical point spread function in ghost imaging using deep learning for identifying defect locations.

Applied optics Aug 10, 2022
We explore the contribution of convolutional neural networks to correcting for the effect of the point spread function (PSF) of the optics when applying ghost imaging (GI) combined with deep learning to identify defect positions in materials. GI can ...
Neural Networks, Computer Deep Learning Diagnostic Imaging
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[Infrared Imaging Meibomian Gland Segmentation System Based on Deep Learning].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2022
In order to better assist doctors in the diagnosis of dry eye and improve the ability of ophthalmologists to recognize the condition of meibomian gland, a meibomian gland image segmentation and enhancement method based on Mobile-U-Net network was pro...
Humans Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Dry Eye Syndromes Meibomian Glands
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Detection of weak micro-scratches on aspherical lenses using a Gabor neural network and transfer learning.

Applied optics Jul 10, 2022
Surface defect detection is a crucial step in ensuring the quality of lenses. One method to check for surface defects is to use an optical system integrated with an industrial camera to magnify and highlight the position of a defect on the surface of...
Neural Networks, Computer Machine Learning Algorithms Diagnostic Imaging Lenses
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