Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Sadia Anjum, Lal Hussain, Mushtaq Ali, Adeel Ahmed Abbasi. Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques. In Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal M. W. Tax, Hongzhi Wang 0002, Thomas Wolfers, Saima Rathore, Madhura Ingalhalikar, editors, Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Volume 12449 of Lecture Notes in Computer Science, pages 249-258, Springer, 2020. [doi]

This author has not been identified. Look up 'Sadia Anjum' in GoogleThis author has not been identified. Look up 'Lal Hussain' in GoogleThis author has not been identified. Look up 'Mushtaq Ali' in GoogleThis author has not been identified. Look up 'Adeel Ahmed Abbasi' in Google

runs on WebDSL