Manual Morphometry

Manual morphometry, the measurement of anatomical shapes and sizes, is being revolutionized by automated methods leveraging deep learning. Current research focuses on developing and refining algorithms, such as convolutional neural networks and optimal transport methods, to efficiently and accurately extract morphometric features from various image modalities (e.g., MRI, satellite imagery, microscopy). This automation improves the reproducibility and scalability of morphometric analyses, impacting diverse fields from medical diagnosis (e.g., Alzheimer's disease, cancer) and personalized medicine to planetary science and aquaculture, where rapid, large-scale analysis is crucial.