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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Główni autorzy:	Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Deepthi, Janjhyam Venkata Naga Ramesh
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2024-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Brain tumor analysis generative adversarial networks neural architectural search medical image processing adaptive computation delays
Dostęp online:	https://ieeexplore.ieee.org/document/10600675/
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