RU-Net2+: A Deep Learning Algorithm for Accurate Brain Tumor Segmentation and Survival Rate Prediction

Author:

Zaitoon Ruqsar1ORCID,Syed Hussain1ORCID

Affiliation:

1. School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SWIN BTS Using Deep Learning;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. Recent Trends in Brain Tumor Detection Using Deep Learning Based Diagnostic Models Assisted with Medical Imaging;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

3. Smart system for identifying the various pathologies in MR brain image using Monkey Search based Interval Type-II Fuzzy C-Means technique;Multimedia Tools and Applications;2024-03-15

4. Advancements in deep learning techniques for brain tumor segmentation: A survey;Informatics in Medicine Unlocked;2024

5. Enhanced Brain Tumor Segmentation and Size Estimation in MRI Samples using Hybrid Optimization;Data and Metadata;2023-12-26

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