YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08395-2.pdf
Reference68 articles.
1. Abdelaziz Ismael SA, Mohammed A, Hefny H (2020) An enhanced deep learning approach for brain cancer MRI images classification using residual networks. Artif Intell Med 102:101779. https://doi.org/10.1016/J.ARTMED.2019.101779
2. Kesav N, Jibukumar MG (2021) Efficient and low complex architecture for detection and classification of brain tumor using RCNN with two channel CNN. J King Saud Univ Comput Inf Sci 34(8):6229–6242. https://doi.org/10.1016/J.JKSUCI.2021.05.008
3. Biju KS, Hakkim HA, Jibukumar MG (2017) Ictal EEG classification based on amplitude and frequency contours of IMFs. Biocybern Biomed Eng 37:172–183. https://doi.org/10.1016/J.BBE.2016.12.005
4. Shafi ASM, Rahman MB, Anwar T et al (2021) Classification of brain tumors and auto-immune disease using ensemble learning. Inform Med Unlocked 24:100608. https://doi.org/10.1016/J.IMU.2021.100608
5. WHO (2022) Cancer. https://www.who.int/health-topics/cancer#tab=tab_1. Accessed 23 Feb 2022
Cited by 4 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. ConvColor DL: Concatenated convolutional and handcrafted color features fusion for beef quality identification;Food Chemistry;2024-12
2. A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques;Computers in Biology and Medicine;2024-09
3. Enhancing Accuracy in Detection of Meningioma Tumour Using RestNet 50 Deep CNN Model;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03
4. Automatic Brain Tumor Detection and Segmentation from MRI Images Using Graph Theory, Metaheuristic Algorithms, Re-Transfer Learning, Integrated Deep Learning and Ensemble Learning Model;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3