Segmentation of Tissue Layers on OCT images via CNNs
Implemented FC-CNN to perform the segmentation of tissue layers from a dataset of cardiac OCT images using transfer learning.
Reviewed a...
Implemented FC-CNN to perform the segmentation of tissue layers from a dataset of cardiac OCT images using transfer learning.
Reviewed and ranked various CNN options to pursue task.
Adapted and augmented dataset to perform labelling task.
Wrote Bash scripts to automate server setup across Google App Engine resulting in having 10 separate machines, each with 2 NVIDIA Tesla K80 GPUs, operating at the same time for free.
Matched human level performance by achieving average dice score of 82% across all layers.
Built in Python Notebook using PyTorch, Tensorflow and Keras.
Python
Google Cloud Platform
Deep Learning
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Python
Google Cloud Platform
Deep Learning
TensorFlow
Keras
PyTorch
AI (artificial intelligence)
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Universal Valuation API
Developed an API to give accurate pricing valuations of any asset in the UK.
Programmed in Python using BeautifulSoup and Selenium.
6 m...
Developed an API to give accurate pricing valuations of any asset in the UK.
Programmed in Python using BeautifulSoup and Selenium.
6 month timeline completed in 2 weeks.
Python
Selenium
Web Scraping
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Python
Selenium
Web Scraping
Beautiful soup
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