Abstract: Hyperspectral images record the electromagnetic spectrum, and each hyperspectral pixel often stores hundreds of channels. Consequently, a hyperspectral image contains an order of magnitude ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Forbes contributors publish independent expert analyses and insights. Technology journalist specializing in audio, computing and Apple Macs. This voice experience is generated by AI. Learn more. This ...
Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.
This retrospective study evaluated 1705 patients with 1883 unruptured intracranial aneurysms who received endovascular treatments at a tertiary center between March 2018 and December 2020. Patients ...
Abstract: Synthetic aperture radar (SAR)-to-RGB translation, which transforms SAR images into visually interpretable RGB counterparts, is critical for enhancing applications in visual analysis, deep ...
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