相关实验视频

Updated: Jul 8, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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在OCT使用深度学习进行概率学体积光斑抑制

Bhaskara Rao Chintada1,2, Sebastián Ruiz-Lopera1,3, René Restrepo4

  • 1Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, USA.

ArXiv
|December 18, 2023
PubMed
概括

我们开发了一种快速的深度学习方法,用于减少光学连贯性断层扫描 (OCT) 图像中的斑点. 这种AI框架有效地消除噪音,同时保留图像细节,改善各种医疗应用的可视化.

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Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography

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Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales00:09

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

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相关概念视频

Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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