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The AI-based digital pathology market is projected to grow at an annualized rate of 8.3%, claims Roots Analysis

/PRNewswire/ Roots Analysis has announced the addition of "AI-based Digital Pathology Market, 2022-2035" report to its list of offerings. The use of. ....

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Artificial Intelligence (AI)-Based Digital Pathology Solutions Market to Record Rapid Growth with CAGR of 7.67% by 2030

/PRNewswire/ InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI-Based Digital Pathology Solutions Market By. ....

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InsightAce Analytics Pvt. Ltd.: Artificial Intelligence (AI)-Based Digital Pathology Solutions Market to Record Rapid Growth with CAGR of 7.67% by 2030

InsightAce Analytics Pvt. Ltd.: Artificial Intelligence (AI)-Based Digital Pathology Solutions Market to Record Rapid Growth with CAGR of 7.67% by 2030
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Using AI for accurately predicting synergistic cancer drug combinations

A research team led by a scholar from City University of Hong Kong (CityU) has recently developed a novel artificial intelligence (AI) framework that ....

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"Optical Flow Networks for Heartbeat Estimation in 4D Ultrasound Images" by Zhen Wang, Guangxu Li et al.

Congenital heart defects is one of the most common neonatal diseases and has a very low survival rate. The fetal heart is generally smaller and possesses a faster than normal beating rate, thus making medical diagnosis difficult. The efficiency and accuracy of diagnosis of congenital heart disease can be improved by computer-aided diagnostic methods. Optical flow is a robust algorithm for object recognition and motion detection, and has potential in early detection of congenital heart defects. In this paper, an end-to-end deep learning system is proposed for obtaining the optical flow information from 4D fetal cardiac ultrasound images. The optical flow network model is trained by using gradients of image sequences obtained from a virtual data set. Subsequently, the trained model is used to detect the cardiac motion. Experimental results and performance evaluation demonstrate the effectiveness of the proposed network. Apart from the efficacy of the proposed method, a visualization of t ....

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