Computer Vision plays a very crucial role in the field of Medical Science and this study of Applied Computer Vision in Medical Science is broadly known as Medical Imaging. Now, Computer Vision is achieved either by deploying Machine Learning or Deep Learning methodologies or both (hybrid) into production.
In this article, I am going to throw light on one such Machine Learning Methodology that uses a Deep Learning Block making it a Hybrid Model for Brain Tumor Classification.
Hybrid Model Development for Brain Tumor Classification
Real-time data may have a vast number of attributes, which often makes essential Exploratory Data Analytics very difficult. Such data are known as highly Multi-Dimensional Data in which each and every attribute is referred to as a dimension. Moving ahead with Multi-Dimensional Data often results in:
Conceptually, Machine Learning (ML) is the art of teaching machines. Now, obviously teaching is such that when a student is taught by a teacher/tutor, he is capable of facing and answering any question which is either explicitly taught or not.
Say, there is a subject covering m number of possible questions. A student is taught n out of the m questions by a teacher (where n is less than m for sure). …