SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients Using Generative Adversarial Network With Neural Architectural Search Operations

SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients Using Generative Adversarial Network With Neural Architectural Search Operations

The landscape of medical imaging, particularly in brain tumor analysis and survival prediction, necessitates advancements due to the inherent complexities and life-threatening nature of brain tumors. Existing methodologies often struggle with precision and efficiency, predominantly due to limitation...

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Bibliographic Details
Main Authors: Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Deepthi, Janjhyam Venkata Naga Ramesh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Brain tumor analysis
generative adversarial networks
neural architectural search
medical image processing
adaptive computation delays
Online Access:https://ieeexplore.ieee.org/document/10600675/

Internet

https://ieeexplore.ieee.org/document/10600675/

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