Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images

Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images

Abstract Recognition and segmentation of brain tumours (BT) using MR images are valuable and tedious processes in the healthcare industry. Earlier diagnosis and localization of BT provide timely options to select effective treatment plans for the doctors and can save lives. BT segmentation from Magn...

Full description

Saved in:
Bibliographic Details
Main Authors: Amal Alshardan, Nuha Alruwais, Hamed Alqahtani, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Sayed
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Brain tumor
Medical image
Semantic segmentation
MRI image
Crayfish optimization
DeepLabv3+
Online Access:https://doi.org/10.1038/s41598-024-81966-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-81966-y

Similar Items