Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
A groundbreaking study published in Soil Ecology Letters unveils a novel deep learning method to rapidly and accurately identify soil-dwelling ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.
The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and ...
Ambarella, an edge AI semiconductor company, announced in advance of CES its reaffirmed commitment to advancing the drone ...
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