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TrueShares Technology, AI & Deep Learning ETF (NYSEARCA:LRNZ) Shares Up 0.8%

TrueShares Technology, AI & Deep Learning ETF (NYSEARCA:LRNZ – Free Report) shares shot up 0.8% during mid-day trading on Friday . The company traded as high as $31.80 and last traded at $31.48. 7,570 shares were traded during mid-day trading, a decline of 46% from the average session volume of 14,074 shares. The stock had […]
Trueshares Technology Ai Deep Learning Company Profile Trueshares Technology Free Report Shares Technology Deep Learning

"De-noising the image using DBST-LCM-CLAHE: A deep learning approach" by Sugandha Chakraverti, Pankaj Agarwal et al.

Histogram Equalization (HE) is one of the most popular techniques for this purpose. Most histogram equalization techniques, including Contrast Limited Adaptive Histogram Equalization (CLAHE) and Local Contrast Modification CLAHE (LCM CLAHE), use a fixed block size technique for feature enhancement. Due to this, all these state of art techniques are used to give poor denoising performance after feature enhancement. In this paper, a deep learning based new approach, namely Dynamic Block Size Techn...
Adaptive Histogram Equalization Contrast Limited Adaptive Histogram Equalization Local Contrast Modification Dynamic Block Size Technique Categorical Subjective Image Quality Dbst Lcm Clahe
Source: uow.edu.au

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New approach could improve accuracy of liquid biopsy tests

A research team led by Xianghong Jasmine Zhou, PhD, professor of Pathology and Laboratory Medicine at the David Geffen School of Medicine at UCLA, has made an important advancement to address one of the major challenges in cell-free DNA (cfDNA) testing, also known as liquid biopsy.
Xianghong Jasmine Zhou Shuo Li Proceedings Of The National Academy Sciences National Academy Of Sciences Laboratory Medicine David Geffen School Of Medicine

Using AI might afford large-scale evaluation for splenomegaly on CT examinations

According to an accepted manuscript published in ARRS' own American Journal of Roentgenology (AJR), using an automated deep-learning AI tool, as well as weight-based volumetric thresholds, might afford large-scale evaluation for splenomegaly on CT examinations performed for any indication.
United States Danielle Ellis Perryj Pickhardt Department Of Radiology National Institutes Of Health Clinical Center American Journal

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