Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.
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Updated
May 1, 2020 - Jupyter Notebook
Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.
Task at UIIP NASB
Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics
Superpixel Clustering using Kmeans in RGBXY and the SLIC algorithm
Implemented the SLIC superpixel algorithm in C++ and image transitions.
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