Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning

Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning

This paper presents an automatic content-based image retrieval (CBIR) system for brain tumors on T1-weighted contrast-enhanced magnetic resonance images (CE-MRI). The key challenge in CBIR systems for MR images is the semantic gap between the low-level visual information captured by the MRI machine...

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Bibliographic Details
Main Authors: Zar Nawab Khan Swati, Qinghua Zhao, Muhammad Kabir, Farman Ali, Zakir Ali, Saeed Ahmed, Jianfeng Lu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Brain tumor retrieval
block-wise fine-tuning
closed-form metric learning
convolutional neural networks
feature extraction
transfer learning
Online Access:https://ieeexplore.ieee.org/document/8611216/

Internet

https://ieeexplore.ieee.org/document/8611216/

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