Optimizing Inception-V3 for Brain Tumor Classification Using Hybrid Precision Training and Cosine Annealing Learning Rate
Author:
Affiliation:
1. Beijing Normal University at Zhuhai,Faculty of Arts and Sciences,Zhuhai,China
2. North China Electric Power University (Baoding) NCEPU,Baoding,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548577.pdf?arnumber=10548577
Reference12 articles.
1. Brain Tumor Detection and Localization: An Inception V3 - Based Classification Followed By RESUNET-Based Segmentation Approach
2. Brain Tumor Classification using VGG 16, ResNet50, and Inception V3 Transfer Learning Models
3. Brain Tumor Classification with Inception V3 Network Model Using Transfer Learning
4. YOLO Object Detector and Inception-V3 Convolutional Neural Network for Improved Brain Tumor Segmentation
5. Quo vadis artificial intelligence?
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