Brain Tumor Detection Using LSTM - Couverture souple

Sai Suneel, A.; Saraswathi Bai, V.

Couverture souple

ISBN 10 : 6208063981 ISBN 13 : 9786208063986

Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

Recent studies have shown that deep learning models are capable of providing significant benefits for medical image analysis. When using LSTM for brain tumor detection, you would typically feed the sequential input data, such as MRI scans or patient time series data, into the LSTM model. The model would then learn from the sequential patterns and use that knowledge to classify whether a brain tumor is present or not. Our model leverages the temporal dependencies in medical imaging data to improve accuracy and robustness in tumor detection. The LSTM model performs better than traditional methods, as shown by our results. This results in high accuracy and valuable insights into the detected tumor region. Further, we explore the interpretability of LSTMs and the potential integration with clinical information for improved diagnosis and planning.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 6208063981
• ISBN 13: 9786208063986
• Reliure: Broché
• Nombre de pages: 84
• Coordonnées du fabricant: non disponible
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