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portada Brain Tumor Detection Using LSTM
Type
Physical Book
Publisher
Author
Year
2025
Language
English
Pages
84
Format
Paperback
Dimensions
22x15 cm
ISBN13
9786208063986

Brain Tumor Detection Using LSTM

A. Sai Suneel;V. Saraswathi Bai (Author) · LAP LAMBERT Academic Publishing · Paperback

Brain Tumor Detection Using LSTM - A. Sai Suneel;V. Saraswathi Bai

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Synopsis "Brain Tumor Detection Using LSTM"

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.

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