Residual Attention Network for Brain Tumour Classification
The main aim of this study is to design and produce an automated algorithm system using Residual Attention Network (RAN) model, which will classify brain tumour. In this project digitalised Magnetic Resonance Image (MRI) is used which is obtained from Malaysian hospitals. The MRI dataset consists of...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak (UNIMAS)
2019
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/27561/1/Residual%20attention%20network%20for%20brain%20tumor%20detection%20%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/27561/4/Sashwini%20ft.pdf http://ir.unimas.my/id/eprint/27561/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|