Exploring 3D convolutional neural networks for enhanced detection in lung cancer classification
Accurate lung cancer diagnosis is crucial for timely treatment and improved patient outcomes. However, the limitations associated with traditional manual interpretation techniques often result in misdiagnosis, emphasizing the pressing need to develop an automated tool. This study proposes a groundbr...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2023
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/27998/1/Exploring%203D%20convolutional%20neural%20networks%20for%20enhanced%20detection%20in%20lung%20cancer%20classification.pdf http://eprints.utem.edu.my/id/eprint/27998/ https://ieeexplore.ieee.org/document/10420062 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |