International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Deep Learning Analysis of 3D Volume of Brain Anomaly Using MRI

Author(s) Geddada Lohita, J.Hima Bindu, Mohammed Abdul Sarfaraz, Sindhu Ravula
Country India
Abstract In this study, we present a comprehensive investigation into the efficacy of two state-of-the-art deep learning architectures, 3D UNet and VNet, for brain tumor detection and segmentation in volumetric medical images.
Keywords 3D UNET, VNET, Brain tumor detection.
Field Medical / Pharmacy
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-20
Cite This Deep Learning Analysis of 3D Volume of Brain Anomaly Using MRI - Geddada Lohita, J.Hima Bindu, Mohammed Abdul Sarfaraz, Sindhu Ravula - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20872
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20872
Short DOI https://doi.org/gtvtwf
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