An automated lung cancer detection project.
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Updated
Mar 6, 2017 - Python
An automated lung cancer detection project.
An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)
Models built with TensorFlow Pattern Recognition
This is the code for the chromatin packing model in macrogenomics engineering study
Data analysis scripts for Rendeiro et. al, 2016 (doi:10.1038/ncomms11938)
This is the breast cancer classification model - malignant or belign
Building a machine learning project named Breast Cancer Classification using Python 3.6, IPython Notebook and Python Virtual Environment
Using Deep Learning to enhance cancer treatment. Project presented at the 2018 Startupfest hackathon.
Tool for the reconstruction of context-specific metabolic models based on omics data from several sources
Mutation Detection in Lung Cancer Cell Lines using CNNs
Deep learning model to distinguish cancer-associated T cell receptors from non-cancer ones
Dissertation on Cancer Detection [Prostate Cancer] Research and Study
A Markov Decision Process with large number of states and its solvers (value iteration, policy iteration and Q-learning)
More detailed growth models using inference.
Detecting and Tracking cancer (HeLa) cells using Computer Vision techniques. The project also detects cell division and analyses cell motion such as speed, distance travelled etc. The project uses OpenCV3 for image processing.
Classifying Breast Cancer Molecular Subtypes
A Python-based GUI to seamlessly simulate various strategies (and combinations of strategies) of Dynamic Precision Medicine (DPM)
AI-based pathology predicts origins for cancers of unknown primary - Nature
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