Enhancement of Brain Tumor Detection Mechanism using Deep Learning

Resumen

Research work has focused on enhancement of performance during detection of brain tumor
using deep learning mechanism. However there have been several researches in field of brain
tumor detection and deep learning but the major issue is performance. In proposed work the
integration of edge detection to existing deep learning mechanism-based brain tumor
detection has reduced the time consumption. Moreover, the time taken to detect the tumor
consider pre trained network also get reduced. First, RGB2 Gray conversion is used to
change the size of previously altered images. Following that, an edge detection technique is
used. The probability of a tumour is calculated based on the qualities that are removed from
the images. Artificial neural networks are employed in the following step to identify tumours.
The use of deep learning has been made to train the MRI images. The brain is appearing as
wall clock shape according to deep learning trained dataset. If there is existence of dish shape
then tumor got detected.