Evaluation Metrics in Machine Learning
Explanation of the importance of metrics in machine learning, focusing on binary classifiers, thresholding, point metrics like accuracy and precision, summary metrics such as AU-ROC and AU-PRC, and the role of metrics in addressing class imbalance and failure scenarios. The content covers training o
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Neural Network Techniques for Cell Segmentation
Neurons can be classified based on direction of travel, neurotransmitter utilized, and electrophysiological properties. Explore intelligent thresholding techniques, transected segments, seed points, and more for advanced cell analysis in imaging projects. Learn about extending to larger images and q
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