Search results for "Model Risk"

An interview with Paul Lee – Doctor, Cardiologist and Deep Learning Researcher

In today’s blog post, I interview Dr. Paul Lee, a PyImageSearch reader and interventional cardiologist affiliated with NY Mount Sinai School of Medicine. Dr. Lee recently presented his research at the prestigious American Heart Association Scientific Session in Philadelphia, PA where he demonstrated how Convolutional Neural Networks can: Automatically analyze and interpret coronary angiograms Detect […]

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Start Here with Computer Vision, Deep Learning, and OpenCV

Need help getting started with Computer Vision, Deep Learning, and OpenCV? Check out my step-by-step guides! What do you need help with? How Do I Get Started? Deep Learning Face Applications Optical Character Recognition (OCR) Object Detection Object Tracking Instance Segmentation and Semantic Segmentation Embedded and IoT Computer Vision Computer Vision on the Raspberry Pi […]

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Keras Mask R-CNN

In this tutorial, you will learn how to use Keras and Mask R-CNN to perform instance segmentation (both with and without a GPU). Using Mask R-CNN we can perform both: Object detection, giving us the (x, y)-bounding box coordinates of for each object in an image. Instance segmentation, enabling us to obtain a pixel-wise mask for […]

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OpenVINO, OpenCV, and Movidius NCS on the Raspberry Pi

Inside this tutorial, you will learn how to utilize the OpenVINO toolkit with OpenCV for faster deep learning inference on the Raspberry Pi. Raspberry Pis are great — I love the quality hardware and the supportive community built around the device. That said, for deep learning, the current Raspberry Pi hardware is inherently resource-constrained and […]

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Breast cancer classification with Keras and Deep Learning

In this tutorial, you will learn how to train a Keras deep learning model to predict breast cancer in breast histology images. Back 2012-2013 I was working for the National Institutes of Health (NIH) and the National Cancer Institute (NCI) to develop a suite of image processing and machine learning algorithms to automatically analyze breast […]

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