Literature DB >> 26629992

Correction: Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition.

Jun Cheng, Wei Huang, Shuangliang Cao, Ru Yang, Wei Yang, Zhaoqiang Yun, Zhijian Wang, Qianjin Feng.   

Abstract

Entities:  

Year:  2015        PMID: 26629992      PMCID: PMC4667930          DOI: 10.1371/journal.pone.0144479

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


× No keyword cloud information.
There are errors in the Funding section. The correct funding information is as follows: This work was supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (http://kjzc.jhgl.org/) under grant (No. 2012BAI14B02), the National Natural Science Foundation of China (http://www.nsfc.gov.cn/) under grant (Nos. 61471187, 61473190, 31271417, 31371009), Program of Pearl River Young Talents of Science and Technology in Guangzhou (http://www.gzsi.gov.cn/) under grant (No. 2013J2200065). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
  1 in total

1.  Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition.

Authors:  Jun Cheng; Wei Huang; Shuangliang Cao; Ru Yang; Wei Yang; Zhaoqiang Yun; Zhijian Wang; Qianjin Feng
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

  1 in total
  8 in total

1.  A two-stage classification method for borehole-wall images with support vector machine.

Authors:  Zhaopeng Deng; Maoyong Cao; Laxmisha Rai; Wei Gao
Journal:  PLoS One       Date:  2018-06-28       Impact factor: 3.240

2.  Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model.

Authors:  Muhannad Faleh Alanazi; Muhammad Umair Ali; Shaik Javeed Hussain; Amad Zafar; Mohammed Mohatram; Muhammad Irfan; Raed AlRuwaili; Mubarak Alruwaili; Naif H Ali; Anas Mohammad Albarrak
Journal:  Sensors (Basel)       Date:  2022-01-04       Impact factor: 3.576

3.  Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks.

Authors:  Bilal Ahmad; Jun Sun; Qi You; Vasile Palade; Zhongjie Mao
Journal:  Biomedicines       Date:  2022-01-21

4.  A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers.

Authors:  Hareem Kibriya; Rashid Amin; Asma Hassan Alshehri; Momina Masood; Sultan S Alshamrani; Abdullah Alshehri
Journal:  Comput Intell Neurosci       Date:  2022-03-26

5.  A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.

Authors:  Mirza Mumtaz Zahoor; Shahzad Ahmad Qureshi; Sameena Bibi; Saddam Hussain Khan; Asifullah Khan; Usman Ghafoor; Muhammad Raheel Bhutta
Journal:  Sensors (Basel)       Date:  2022-04-01       Impact factor: 3.576

6.  Dynamic programming and automated segmentation of optical coherence tomography images of the neonatal subglottis: enabling efficient diagnostics to manage subglottic stenosis.

Authors:  Konrad M Kozlowski; Giriraj K Sharma; Jason J Chen; Li Qi; Kathryn Osann; Joseph C Jing; Gurpreet S Ahuja; Andrew E Heidari; Phil-Sang Chung; Sehwan Kim; Zhongping Chen; Brian J-F Wong
Journal:  J Biomed Opt       Date:  2019-09       Impact factor: 3.170

7.  Differential Deep Convolutional Neural Network Model for Brain Tumor Classification.

Authors:  Isselmou Abd El Kader; Guizhi Xu; Zhang Shuai; Sani Saminu; Imran Javaid; Isah Salim Ahmad
Journal:  Brain Sci       Date:  2021-03-10

8.  Synergy Factorized Bilinear Network with a Dual Suppression Strategy for Brain Tumor Classification in MRI.

Authors:  Guanghua Xiao; Huibin Wang; Jie Shen; Zhe Chen; Zhen Zhang; Xiaomin Ge
Journal:  Micromachines (Basel)       Date:  2021-12-23       Impact factor: 2.891

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.