Spherical Convolutional Neural Networks for Survival Rate Prediction in Cancer Patients

Spherical Convolutional Neural Networks for Survival Rate Prediction in Cancer Patients

ObjectiveSurvival Rate Prediction (SRP) is a valuable tool to assist in the clinical diagnosis and treatment planning of lung cancer patients. In recent years, deep learning (DL) based methods have shown great potential in medical image processing in general and SRP in particular. This study propose...

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Bibliographic Details
Main Authors: Fabian Sinzinger, Mehdi Astaraki, Örjan Smedby, Rodrigo Moreno
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Oncology
Subjects:
lung cancer
tumor segmentation
spherical convolutional neural network
survival rate prediction
deep learning
Cox Proportional Hazards
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.870457/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.870457/full

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