Due to their impressive ability to extract relevant information from images, deep learning algorithms are widely applied to microscopy images of the brain to address these challenges and they perform superiorly in a wide range of microscopy image processing and analysis tasks.
Deep learning in mesoscale brain image analysis: A review
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We reviewed the deep learning and its applications in mesoscale brain microscopy image analysis. •. We compared the datasets and performance measures ...
Here we discuss the basic mathematical and statistical processes that are routinely ... [Show full abstract] used by microscopists to routinely produce high ...
Oct 27, 2023 · Mesoscale microscopy images of the brain contain a wealth of information which can help us understand the working mechanisms of the brain.
We review recent open source tools for registration of images to atlases, and the segmentation, visualisation and analysis of brain regions and labelled ...
Jun 4, 2024 · In this review, our goal is to provide an updated overview of recent advances in these image-processing methods, with a particular focus on ...
Sep 28, 2023 · Deep learning has gained prominence in image ... mesoscale: current advances in image processing and analysis for mapping the brain connectivity.
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This review focusses on recent efforts to analyse and understand mesoscale whole-brain microscopy data with the view to establishing best practice approaches ...
Apr 22, 2024 · Here, we present DELiVR, a virtual reality-trained deep-learning pipeline for detecting c-Fos+ cells as markers for neuronal activity in cleared ...
Between neurons and networks: investigating mesoscale brain ...
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In this review, we aim to explore mesoscale brain imaging ... Although deep learning techniques have been demonstrated as a cornerstone approach for image ...