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Updated: Jul 15, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

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

Published on: November 30, 2022

Instability and performance limits of convolutional neural networks on non-sequential medical tabular data: an

Changwon Wang1, Mohamed Elgendi2, Hangsik Shin3,4

  • 1Department of Integrated Healthcare Science, Soonchunhyang University, Asan, 31538, Republic of Korea.

Scientific Reports
|March 3, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Convolution neural networkEffect size.Multi-layer perceptronNon-sequential data

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Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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