BTS U-Net: A data-driven approach to brain tumor segmentation through deep learning
We would like to express our gratitude to Data Spartan for the advice and computational resources: Data will be made available on request.
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/381118 |
| Acceso en línea: | http://hdl.handle.net/10261/381118 |
| Access Level: | acceso abierto |
| Palabra clave: | Brain tumor segmentation Brain tumor classification Magnetic resonance imaging Convolutional networks |
| Sumario: | We would like to express our gratitude to Data Spartan for the advice and computational resources: Data will be made available on request. |
|---|