Results 71 to 80 of about 12,340,531 (359)
Review and Prospect: Artificial Intelligence in Advanced Medical Imaging
Frontiers in Radiology, 2021 Artificial intelligence (AI) as an emerging technology is gaining momentum in medical imaging. Recently, deep learning-based AI techniques have been actively investigated in medical imaging, and its potential applications range from data acquisition and ...
Shanshan Wang +7 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Extracellular vesicles (EVs) mediate intercellular communication in tumor immune microenvironments. However, their role in B‐cell malignancies remains poorly defined, owing to biological complexity and technical challenges in EV isolation and analysis.
Daniel Bachurski, Michael Hallek
wiley +1 more source
AI in Medical Imaging Informatics: Current Challenges and Future Directions
IEEE journal of biomedical and health informatics, 2020 This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice.
A. Panayides +15 more
semanticscholar +1 more source
Artificial Intelligence in Medical Imaging of the Breast
Frontiers in Oncology, 2021 Artificial intelligence (AI) has invaded our daily lives, and in the last decade, there have been very promising applications of AI in the field of medicine, including medical imaging, in vitro diagnosis, intelligent rehabilitation, and prognosis. Breast
Yuxing Lei +9 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
Sensor, Signal, and Imaging Informatics in 2017. [PDF]
, 2018 Objective To summarize significant contributions to sensor, signal, and imaging informatics literature published in 2017.Methods PubMed® and Web of Science® were searched to identify the scientific publications published in 2017 that addressed sensors ...
Deserno, Thomas M +3 more
core
Laser Based Mid-Infrared Spectroscopic Imaging – Exploring a Novel Method for Application in Cancer Diagnosis [PDF]
, 2011 A number of biomedical studies have shown that mid-infrared spectroscopic images can provide both morphological and biochemical information that can be used for the diagnosis of cancer.
McCrow, Andrew, McCrow, Andrew
core +1 more source
FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
Brain Segmentation ? A Case study of Biomedical Cloud Computing for Education and Research [PDF]
, 2013 Medical imaging is widely adopted in Hospitals and medical institutes, and new ways to improve existing medical imaging services are regularly exploited.
Chang, V
core
Medical Applications of Microwave Imaging
The Scientific World Journal, 2014 Ultrawide band (UWB) microwave imaging is a promising method for the detection of early stage breast cancer, based on the large contrast in electrical parameters between malignant tumour tissue and the surrounding normal breast-tissue. In this paper, the
Zhao Wang +3 more
doaj +1 more source