Medical Images Classifier

Project Description

We are a startup in AI field. We need to predict binary outcomes based on the sequence of images of the cell taken by a microscope. Our 2 junior Python devs run a few popular NN on this set but we only getting about 60% acuracy. We also have a description of features that potentially could be affecting the outcome. Building feature extractors might be one way to increase accuracy. 

We are looking to consult with a Neural Network expert in image processing and classification.

Data sources

6000 Sequences of jpg images 500x500px, sorted by TRAIN (POS NEG) and VAL sets. Also, source data in xls and imported in mySQL dtabase.

Current Technology stack

Nvidia DIGITS server, keras, tensorflow, caffe...

We have an UBUNTU server with one 1080 TI

Deliverable

Neural network that can reach higher accuracy. Ideally you would work on our server. We have teamviewer or SSH access.

As an option, you would advice our team on best direction to take and we will do the leg work.

In your proposal please tell us more about your neural network experience in image processing and classification.