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Prithviraj Mane
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Review on Brain Tumour Detection using Digital Image Processing
Medical image processing is the most challenging and emerging field today. This paper describes the methodology detection and extraction of brain tumour from patient’s MRI scan images of the brain. In this paper,A method for segmentation of brain tumour has been developed on 2D-MRI data which allows the identification of tumour issue with high accuracy and reproducibility compared to manual techniques. This method incorporates with some noise removal functions, segmentation and morphological operations which are the basic concepts of image processing. Detection and extraction of tumour from MRI scan images of the brain is done by using MATLAB software. The aim of this work is design an automated tool for brain tumour quantification using MRI image data sets.
Mohit Kumar
Handwritten Digits Recognizer
This is helpful to correctly identify digits from a data-set of tens of thousands of handwritten images. The data files train.csv and test.csv contain gray-scale images of hand drawn digits, from zero through nine.
Hand Gesture Recognition Using Image Analysis and Neural Network
Hand gesture recognition system is used for interfacing between computer and human using hand gestures.
hopfield neural network
Neural network is a very important extensive part of artificial intelligence and here we have hopfield neural networks in brief
Rakesh Kundu
Neural Networks
Neural network is a very interesting chapter in artificial intelligence. Here is a brief description about neural network which will help you to get some idea.
Neural network part 2
This is the second part of neural networks in artificial intelligence. This will help you to get a complete view over neural networks.
Stock Market Forecasting using ANN
Stock Market Forecasting using Machine learning and Artificial Neural Networks
Rahul Sengupta
Neural Network:A Brief Overview
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria
Arya Sunil
Artificial intelligence - Artificial neural networks
In this PDF there is detailed concepts and examples related to Artificial intelligence regarding to artificial neural networks.You will be able to learn how to use in daily life.
Kilari Harshitha Naidu
Neural Networks part 2 | Machine Learning
Neural Networks part 2 | Machine Learning
Kunal Shah