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Total 30 results found since Jan 2013.

A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
ConclusionThis review's objective is to increase scholars' interest in this difficult field and familiarize them with current advancements in it. To create CAD systems aimed at brain tumor identification using MR images, digital image processing approaches, such as preprocessing, segmentation, and classification, are applied. The classic machine learning and deep learning approaches for brain tumor identification are deliberated in this work. This paper provides a summary of commonly used MR image datasets. For classification, various machine learning and deep learning algorithms have been used. This survey examines curren...
Source: Health and Technology - February 27, 2023 Category: Information Technology Source Type: research

The 3rd Beijing Forum of Evidence-Based Medicine and 2023 Cochrane China Network Symposium successfully held
Cochrane China recently hosted a virtual event for the evidence-based medicine community that brought together many of its partners, local expertise, and international speakers. Here the team provides an overview of who was involved and what was covered at the event.  The3rd Beijing forum of evidence-based medicine and Cochrane China Network  Symposium was successfully held virtually on January 15th, 2023. The host of this conference wereCochrane China Network and Beijing GRADE Center. The organizers are Centre for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, affiliate of the Cochrane China Ne...
Source: Cochrane News and Events - February 17, 2023 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Brainomix secures £16M to expand AI-based platform for biomarker imaging
After pioneering in stroke assessment, the investment will be directed to new therapeutic areas for lung fibrosis and cancer.
Source: mobihealthnews - December 23, 2021 Category: Information Technology Source Type: news

Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques
Int J Telemed Appl. 2021 Aug 27;2021:6624057. doi: 10.1155/2021/6624057. eCollection 2021.ABSTRACTObesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity,...
Source: International Journal of Telemedicine and Applications - September 6, 2021 Category: Information Technology Authors: Sylvester M Sefa-Yeboah Kwabena Osei Annor Valencia J Koomson Firibu K Saalia Matilda Steiner-Asiedu Godfrey A Mills Source Type: research