3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images
Brain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. Due to the development of modern technology, it is very valuable to use deep learning (DL) and multimodal MRI images to study brain tumor segmentation. In order to solve t...
Saved in:
Main Authors: | Zhuliang Qian, Lifeng Xie, Yisheng Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Emergency Medicine International |
Online Access: | http://dx.doi.org/10.1155/2022/5356069 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Brain tumor segmentation by deep learning transfer methods using MRI images
by: E.Y. Shchetinin
Published: (2024-06-01) -
Comment on “Deep learning for the automatic detection and segmentation of parotid gland tumors on MRI”
by: Sesuraj Balasamy, et al.
Published: (2024-09-01) -
YOLO-UNet Architecture for Detecting and Segmenting the Localized MRI Brain Tumor Image
by: Nur Iriawan, et al.
Published: (2024-01-01) -
Application of MRI image segmentation algorithm for brain tumors based on improved YOLO
by: Tao Yang, et al.
Published: (2025-01-01) -
Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI
by: Vincent Andrearczyk, et al.
Published: (2024-12-01)