Neural network based medical data classification model
₹1500-12500 INR
Paid on delivery
Require implementation of neural network medical data classification model which uses parallel computing strategies. Data should be related to cancer data. Data sets should be of chest xray or MRI scan reports. CNN model can be used as classifier model. Proper model evaluation techniques to used to output the results and evaluate performance.
Project ID: #27977190
About the project
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I am proficient in model training in distributed mode. My professional experience includes Proficiency in machine learning and deep learning skills for multiple applications including Computer Vision, Natural Language More
9 freelancers are bidding on average ₹8932 for this job
hellow hope you will be fine. I am a deep learning expert and have done alot of projects in medical imaging. some of them are given classification of xrays of corona by deep learning classification of breast cance More
Hi I'm a Ph D computational scientist with an extensive experience in data science and a good hands on skills in CNN. I have been working in a similar project involving malignant tumor detection and classification for More
Hi,i'm a data scientist with a BS degree in computer science i will do your task as fast as i can and i will achieve it exactly as you want,don't worry about any thing contact me for discussion
Hello, I have done projects on ANN and CNN using tensor flow and keras. I did a neonatal jaundice classifier, and your project sounds similar to mine. Do contact me so that I can know more about your project. Regards.
hello there!! I created a similar project in one of the hackathon . I m interested in this project . I have completed many cnn models and still working on many. I have spent my whole lockdown in cnn models. I will be More
Hello. I am currently MSc biomedical engineering student. I have 3 years of experience working with different ML and Deep learning models in python. I have implemented several disease classification methods exploiting More