Brain tumor analysis is essential to the timely diagnosis and effective treatment of patients.
Tumor analysis is challenging because of tumor morphology factors like size, location,
texture, and heteromorphic appearance in medical images. In this regard, a novel two-phase
deep learning-based framework is proposed to detect and categorize brain tumors in
magnetic resonance images (MRIs). In the first phase, a novel deep-boosted features space
and ensemble classifiers (DBFS-EC) scheme is proposed to effectively detect tumor MRI …

Brain tumors analysis is important in timely diagnosis and effective treatment to cure
patients. Tumor analysis is challenging because of tumor morphology like size, location,
texture, and heteromorphic appearance in the medical images. In this regard, a novel two-
phase deep learning-based framework is proposed to detect and categorize brain tumors in
magnetic resonance images (MRIs). In the first phase, a novel deep boosted features and
ensemble classifiers (DBF-EC) scheme is proposed to detect tumor MRI images from …