A robust approach for multi-type classification of brain tumor using deep feature fusion.

"the validity of the method was verified on two publicly available datasets including figshare dataset ( ) referred to as dataset 1 and kaggle dataset ( ) referred to as dataset 2 and the model outperformed other state-of-the-art models2 there have been many studies on the classification of brain tumors constructed a 22-layer cnn architecture."

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Major Science and Technology Projects of Henan Province (Grant No. 221100210500), the Foundation of Henan Educational Committee (No. 24A320004), the Medical and Health Research Project in Luoyang (Grant No. 2001027A), and the Construction Project of Improving Medical Service Capacity of Provincial Medical Institutions in Henan Province (Grant No. 2017-51)."