Nakul, R. S. <br/><br/>
Brain tumor identification and classification using machine learning 

 - Vol.24(5), Sep-Oct 
 - Gurugram  IOSR - International Organization of Scientific Research  2022 
 - 34-37p. 
<br/><br/> Brain Cancer (Tumor) can be characterized as an abnormal and unrestrained development in the<br/>synapses. Research has shown that the identification of these tumors at an early stage can help deal with the<br/>severity in a significant manner. Taking into the account the number of undetected brain tumors, there is a<br/>strong need for improvement in this field of identifying and understanding the formation of the tumor. This not<br/>only helps in detection of plausible problem in patients, but also helps the doctors, by increasing the ease and<br/>time take for the same. The main motive of the paper is to find a generalized technique to detect brain tumors<br/>more efficiently and classify the images<br/>based on the stages of growth. Using these images we can establish growth parameters like the type of tumor,<br/>severity of growth and treatment elimination. Doctors can use these data to eliminate certain unnecessary<br/>procedures which can save a lot of lives. The paper uses Machine Learning through Tensor Flow and Keras to<br/>train efficient models for detection, localization and classification of brain tumors using predefined dataset. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Engineering