Brain Tumor Segmentation from Optimal MRI Slices Using a Lightweight U-Net
The timely detection and accurate localization of brain tumors is crucial in preserving people’s quality of life. Thankfully, intelligent computational systems have proven invaluable in addressing these challenges. In particular, the UNET model can extract essential pixel-level features to automatic...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2024-10-01
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| Rangatū: | Technologies |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2227-7080/12/10/183 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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