Two frequently used models are Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). Both are useful for recognizing structures in data.
Convolutional Neural Network (CNN) is useful for image recognition in medical imaging, diagnosis based on medical imaging, tumor diagnosis. Recurrent Neural Network is the less obvious one. It is useful for processing sequence data like sound, words, and time series data - understanding what will come next. Time series is good for heart disease over time, hormone level, blood sugar
Machine Learning for Radiology
The paper Implementing Machine Learning in Radiology Practice and Research (Kohli et al.) concluded that Machine Learning will assist radiologist rather than replacing their jobs. However, Geoff Hinton, a leader in Machine Learning, Deep Learning and Artificial Intelligence, thinks there's no question radiologist will be replaced https://www.youtube.com/watch?v=2HMPRXstSvQ.
import cv2 cv2.imread() cv2.resize() .tranpose() on arrays .reshape() on arrays
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