Automated brain tumor classification using various deep learning models: a comparative study

A Comparative Study of Various Brain Tumor Detection Algorithms

In recent years, medical image researches for brain tumor detection are attaining more curiosity since the augmented need for efficient and objective evaluation of large amounts of data. Medically, tumors are also known as neoplasms, which are an abnormal mass of tissue resulting from uncontrolled proliferation or division of cells happening in the human body. If such growth is located within t...

Brain Tumor Classification Using Machine Learning

Medical imaging has becoming as a transpire discipline in diversified medical diagnosis. It has been plays a vital role in automatic detection, which bestows information about abnormalities for further treatment. The traditional approach of detecting MRI has been based on manual inspection, which has become inappropriate for vast volume of data. Automated tumor detection has gaining importance ...

A Hybrid Optimization Algorithm for Learning Deep Models

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...

A Hybrid Optimization Algorithm for Learning Deep Models

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...

Vehicle Detection Using Alex Net and Faster R-CNN Deep Learning Models: A Comparative Study