Exploring Deep Clustering Methods in Vibro-Acoustic Sensing for Enhancing Biological Tissue Characterization

Exploring Deep Clustering Methods in Vibro-Acoustic Sensing for Enhancing Biological Tissue Characterization

Nonlinear dimensionality reduction techniques, often referred to as manifold learning, are increasingly valuable for data visualization and unsupervised clustering. In the context of surgery and medicine, these methods facilitate the analysis of complex datasets, enabling pattern recognition in surg...

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Bibliographic Details
Main Authors: Robin Urrutia, Diego Espejo, Montserrat Guerra, Karin Vio, Thomas Suhn, Nazila Esmaeili, Axel Boese, Patricio Fuentealba, Alfredo Illanes, Christian Hansen, Victor Poblete
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Dimensionality reduction
haptic information
minimally invasive surgery
robot-assisted surgery
surgery augmentation
surgical data science
Online Access:https://ieeexplore.ieee.org/document/10981752/
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https://ieeexplore.ieee.org/document/10981752/

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