AIMC Topic: Diagnostic Imaging
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Artificial Intelligence in Body Imaging: An Overview of Commercially Available Tools.
Seminars in roentgenology
Mar 27, 2023
Deep learning-enabled segmentation of ambiguous bioimages with deepflash2.
Nature communications
Mar 27, 2023
Bioimages frequently exhibit low signal-to-noise ratios due to experimental conditions, specimen characteristics, and imaging trade-offs. Reliable segmentation of such ambiguous images is difficult and laborious. Here we introduce deepflash2, a deep ...
A primer on artificial intelligence in pancreatic imaging.
Diagnostic and interventional imaging
Mar 24, 2023
Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data contained in medical images. Deep learning and radiomics are the two main AI methods currently being applied within radiology. Deep learning uses a layered s...
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging.
International journal of computer assisted radiology and surgery
Mar 24, 2023
PURPOSE: Hyperspectral imaging has the potential to improve intraoperative decision making if tissue characterisation is performed in real-time and with high-resolution. Hyperspectral snapshot mosaic sensors offer a promising approach due to their fa...
How to keep artificial intelligence evolving in the medical imaging world? Challenges and opportunities.
Science bulletin
Mar 21, 2023
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment.
Cell
Mar 10, 2023
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict patient outcomes, and inform treatment planning. Here, we review recent applications of ML across the clinical oncology workflow. We review how these techniq...
COVID-19 imaging, where do we go from here? Bibliometric analysis of medical imaging in COVID-19.
European radiology
Mar 9, 2023
OBJECTIVES: We conducted a systematic and comprehensive bibliometric analysis of COVID-19-related medical imaging to determine the current status and indicate possible future directions.
Multi-agent medical image segmentation: A survey.
Computer methods and programs in biomedicine
Feb 24, 2023
During the last decades, the healthcare area has increasingly relied on medical imaging for the diagnosis of a growing number of pathologies. The different types of medical images are mostly manually processed by human radiologists for diseases detec...
Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology.
Seminars in cancer biology
Feb 19, 2023
Personalized treatment strategies for cancer frequently rely on the detection of genetic alterations which are determined by molecular biology assays. Historically, these processes typically required single-gene sequencing, next-generation sequencing...
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks.
Computers in biology and medicine
Feb 18, 2023
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease diagnosis with their outstanding image classification performance. In spite of the outstanding results, the widespread adoption of these techniques in clinical p...
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