Three years after a team of Caltech scientists showed that pairs of entangled photons could double the resolution of a light microscope, the same lab has figured out a way to double down on that ...
Journalists, human rights advocates and open source analysts recoiled in horror at the initial decision: "The opportunities ...
Researchers have developed a new artificial intelligence-based method that could significantly improve the detection and classification of brain tumors from MRI scans, achieving higher accuracy than ...
The company’s new A.I. image generator has a surprising twist: It allows people to use images from public Instagram accounts. By Eli Tan Reporting from Seattle When Meta unveiled an artificial ...
Abstract: This paper presents an optimized lightweight Super-Resolution Convolutional Neural Network (SRCNN) capable of reconstructing high-quality images with strong fidelity. The proposed framework ...
Traditional hematoxylin and eosin staining in formalin-fixed paraffin-embedded sections, while essential for diagnostic pathology, is time-consuming, labor intensive, and prone to artifacts that can ...
The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...
In recent years, Oral Squamous Cell Carcinoma (OSCC) has been a common tumor in the orofacial region, affecting areas such as the teeth, jaw, and temporomandibular joint. OSCC is classified into three ...
Abstract: We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented ...
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