AIMC Topic: Diagnostic Imaging
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Context encoder transfer learning approaches for retinal image analysis.
Computers in biology and medicine
Dec 22, 2022
During the last years, deep learning techniques have emerged as powerful alternatives to solve biomedical image analysis problems. However, the training of deep neural networks usually needs great amounts of labeled data to be done effectively. This ...
Diagnostic test accuracy of artificial intelligence-based imaging for lung cancer screening: A systematic review and meta-analysis.
Lung cancer (Amsterdam, Netherlands)
Dec 15, 2022
BACKGROUND: Lung cancer is the principal cause of cancer-related deaths worldwide. Early detection of lung cancer with screening is indispensable to reduce the high morbidity and mortality rates. Artificial intelligence (AI) is widely utilised in hea...
A Brief Review of Artificial Intelligence in Genitourinary Oncological Imaging.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Dec 14, 2022
Genitourinary (GU) system is among the most commonly involved malignancy sites in the human body. Imaging plays a crucial role not only in diagnosis of cancer but also in disease management and its prognosis. However, interpretation of conventional i...
Deep Learning in Medical Hyperspectral Images: A Review.
Sensors (Basel, Switzerland)
Dec 13, 2022
With the continuous progress of development, deep learning has made good progress in the analysis and recognition of images, which has also triggered some researchers to explore the area of combining deep learning with hyperspectral medical images an...
Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging.
Dento maxillo facial radiology
Dec 12, 2022
Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals based on one's biological, social, and behavioral characteristics. While personalized dental medicine is still far from being a reality, advanced artificial ...
Data augmentation for medical imaging: A systematic literature review.
Computers in biology and medicine
Dec 9, 2022
Recent advances in Deep Learning have largely benefited from larger and more diverse training sets. However, collecting large datasets for medical imaging is still a challenge due to privacy concerns and labeling costs. Data augmentation makes it pos...
Artificial intelligence in veterinary diagnostic imaging: A literature review.
Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Dec 5, 2022
Artificial intelligence in veterinary medicine is an emerging field. Machine learning, a subfield of artificial intelligence, allows computer programs to analyze large imaging datasets and learn to perform tasks relevant to veterinary diagnostic imag...
Deep Learning Based Infrared Thermal Image Analysis of Complex Pavement Defect Conditions Considering Seasonal Effect.
Sensors (Basel, Switzerland)
Dec 1, 2022
Deep learning techniques underpinned by extensive data sources encompassing complex pavement features have proven effective in early pavement damage detection. With pavement features exhibiting temperature variation, inexpensive infra-red imaging tec...
Unsupervised landmark detection and classification of lung infection using transporter neural networks.
Computers in biology and medicine
Nov 25, 2022
Supervised deep learning techniques have been very popular in medical imaging for various tasks of classification, segmentation, and object detection. However, they require a large number of labelled data which is expensive and requires many hours of...
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