BRAIN TUMOUR DETECTION USING DEEP LEARNING
Authors/Creators
Description
Nowaday’s tumor is second leading cause of cancer. The medical field needs automated, efficient and reliable technique to detect tumor like brain tumor. Detection plays very important role in treatment. If proper detection of tumor is possible then doctors keep a patient out of danger. Various image processing techniques are used in this application. Using this application doctors provide proper treatment and save a number of tumor patients. A tumor is nothing but excess cells growing in an uncontrolled manner. Currently, doctors locate the position and the area of brain tumor by looking at the MR Images of the brain of the patient manually. This results in inaccurate detection of the tumor and is considered very time consuming. A tumor is a mass of tissue it grows out of control. We can use a Deep Learning architectures CNN. The performance of model is predict image tumor is present or not in image. If the tumor is present it return yes otherwise return no.
Files
IJET-V8I5P38.pdf
Files
(801.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:a2c4002d0bedc45d6cbea29fa277d7be
|
801.3 kB | Preview Download |