Experts in Heidelberg, Germany, have developed an AI system that can classify brain tumors with unprecedented accuracy using ...
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
Abstract: In recent years, light field imaging has gained significant attention in the scientific community due to its ability to provide a more immersive representation of the 3D world. However, ...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...
FireANTS combines AI and geometry to match features in dense images faster and more accurately, with potential applications in fields like radiology. Penn Engineers have developed an open-source ...
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