Brain tumor MRI image segmentation using deep learning techniques. (2021)

• Record Type: Book
• Further Information: Note: Edited by Jyotismita Chaki.
• Editors: Chaki, Jyotismita
• Contents: 1. Introduction to brain tumor segmentation using Deep Learning 2. Data preprocessing methods needed in brain tumor segmentation 3. Transformation of low-resolution brain tumor images into super-resolution images using Deep Learning based methods 4. Single path Convolutional Neural Network based brain tumor segmentation 5. Multi path Convolutional Neural Network based brain tumor segmentation 6. Fully Convolutional Networks (FCNs) based brain tumor segmentation 7. Cascade convolutional neural network-based brain tumor segmentation 8. Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN) for brain tumor segmentation 9. Gated Recurrent Units (GRU) based Recurrent Neural Network (RNN) for brain tumor segmentation 10. Generative Adversarial Networks (GAN) based brain tumor segmentation 11. Auto encoder-based brain tumor segmentation 12. Ensemble deep learning model-based brain tumor segmentation 13. Research Issues and Future of Deep Learning based brain tumor segmentation
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 616.8047548; Brain -- Magnetic resonance imaging; Brain -- Tumors
• Languages: English
• ISBNs: 9780323983952
• Related ISBNs: 9780323911719
• Notes: Note: Description based on CIP data; resource not viewed.
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