Leveraging u-net architecture for accurate localization in brain tumor segmentation
This study presents an approach based on deep learning to segment brain tumors in medical imaging accurately. The segmentation of brain tumors plays a crucial role in diagnosing, planning treatments, and monitoring disease progression. However, existing methods have limitations such as time-consumin...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41910/ http://umpir.ump.edu.my/id/eprint/41910/1/Leveraging%20u-net%20architecture%20for%20accurate%20localization.pdf http://umpir.ump.edu.my/id/eprint/41910/2/Leveraging%20u-net%20architecture%20for%20accurate%20localization%20in%20brain%20tumor%20segmentation_ABS.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/41910/http://umpir.ump.edu.my/id/eprint/41910/1/Leveraging%20u-net%20architecture%20for%20accurate%20localization.pdf
http://umpir.ump.edu.my/id/eprint/41910/2/Leveraging%20u-net%20architecture%20for%20accurate%20localization%20in%20brain%20tumor%20segmentation_ABS.pdf