haarsh09 Goto Github PK

brain-tumor-classification

A Brain tumor is considered as one of the aggressive diseases, among children and adults. Brain tumors account for 85 to 90 percent of all primary Central Nervous System(CNS) tumors. Every year, around 11,700 people are diagnosed with a brain tumor. The 5-year survival rate for people with a cancerous brain or CNS tumor is approximately 34 percent for men and36 percent for women. Brain Tumors are classified as: Benign Tumor, Malignant Tumor, Pituitary Tumor, etc. Proper treatment, planning, and accurate diagnostics should be implemented to improve the life expectancy of the patients. The best technique to detect brain tumors is Magnetic Resonance Imaging (MRI). A huge amount of image data is generated through the scans. These images are examined by the radiologist. A manual examination can be error-prone due to the level of complexities involved in brain tumors and their properties. Application of automated classification techniques using Machine Learning(ML) and Artificial Intelligence(AI)has consistently shown higher accuracy than manual classification. Hence, proposing a system performing detection and classification by using Deep Learning Algorithms using ConvolutionNeural Network (CNN), Artificial Neural Network (ANN), and TransferLearning (TL) would be helpful to doctors all around the world.

building-low-latency-applications-with-cpp

Building Low Latency Applications with CPP by Packt Publishing

cern-ecollision

Context This dataset contains 100k dielectron events in the invariant mass range 2-110 GeV for use in outreach and education. These data were selected for use in education and outreach and contain a subset of the total event information. The selection criteria may be different from that used in CMS physics results.

chatbotapplication

gptpoweredchatbot

haarsh09

Config files for my GitHub profile.

hackfest

Make your first Pull Request on Hacktoberfest 2023. Don't forget to spread love and if you like give us a ⭐️

hacktoberfest2023

Hacktoberfest 2023 OPEN FIRST Pull Request - FREE T-SHIRT🎉

ivy

The Unified AI Framework

neuralnets

opencv_contrib

Repository for OpenCV's extra modules

seam-carving

seamcarving

spacetime

A lightweight javascript timezone library

support-vector-machines

trial

vehicle-route-optimization

Built an adjacency matrix for a graph representing different cities at different nodes. Assigned weights to the edges which represented the distance or time taken for the vehicle to go from one city to another. This framework can also be implemented on supply chain optimization and Travelling salesman problem.