Medical Imaging And Machine Learning Intern
• Development of a segmentation model, including a pre-processing pipeline, to segment the prostate from MRI scans, achieving state of the art performance with FastAi (/PyTorch), for usage in a product to identify and diagnose prostate cancer.• Research, experimentation, and evaluation of various techniques, architectures, and hyperparameters to further boost performance: progressive resizing, learning rate annealing, normalisation, ensembling, and the use of 2.5D images. The MRI scans are… Show more • Development of a segmentation model, including a pre-processing pipeline, to segment the prostate from MRI scans, achieving state of the art performance with FastAi (/PyTorch), for usage in a product to identify and diagnose prostate cancer.• Research, experimentation, and evaluation of various techniques, architectures, and hyperparameters to further boost performance: progressive resizing, learning rate annealing, normalisation, ensembling, and the use of 2.5D images. The MRI scans are monochrome, but the three RGB channel can still be used – the layers above and below can be encoded into the red and blue channels, giving the model some level of depth.• Development of a 3D segmentation model to segment various organs from MRI scans.• Manual labelling of medical segmentation data. Show less