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1 Ergebnisse
1
An Efficient U-Net based Model for Low Grade Glioma Segment..:
, In:
2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
,
Kunjumon, Anila
;
Jacob, Chinnu
;
Resmi, R
- p. 1-5 , 2024
Link:
https://doi.org/10.1109/ic-ETITE58242.2024.10493347
RT T1 <cTitle>2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)</cTitle>: T1 <Title>An Efficient U-Net based Model for Low Grade Glioma Segmentation in MRI Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10493347&Exemplar=1&LAN=DE A1 Kunjumon, Anila A1 Jacob, Chinnu A1 Resmi, R YR 2024 K1 Measurement K1 Image segmentation K1 Systematics K1 Magnetic resonance imaging K1 Magnetic resonance K1 Brain modeling K1 Market research K1 Brain Tumor K1 MRI K1 Segmentation K1 Low Grade Glioma (LGG) K1 U-Net SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ic-ETITE58242.2024.10493347 DO https://doi.org/10.1109/ic-ETITE58242.2024.10493347 SF ELIB - SuUB Bremen
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