Machine Learning#
Do other machine learning algorithms perform better on our task? Can we improve the segmentation performance by parameter tuning?
Overfitting
Parameter tuning (tree depth, forest size)
Support Vector Machine (SVM)
Variants of decision forests (e.g., gradient boosted trees)
Materials#
A. Criminisi and J. Shotton, Decision Forests for Computer Vision and Medical Image Analysis, 1st ed. London: Springer, 2013.
R. S. Olson, W. La Cava, Z. Mustahsan, A. Varik, and J. H. Moore, Data-driven Advice for Applying Machine Learning to Bioinformatics Problems, Aug. 2017.
Deep Learning#
Deep learning has gained much attention in the last years outperforming methods such as decision forests. What is the performance of a deep learning method on our task?
Implement a deep learning method
Materials#
Generic U-Net Tensorflow implementation for image segmentation
O. Ronneberger, P. Fischer, and T. Brox, U-Net: Convolutional Networks for Biomedical Image Segmentation, May 2015.