TOPIC: AI in Image Analysis, presented by CCR: AIR and High Throughput Imaging Facility
Deep learning is a subclass of machine learning which has shown excellent performance in learning tasks on unstructured data, such as digital images. In the first part of this talk, we will discuss some recent development of machine learning, with emphasis on the cellular object segmentation and tracking, image classification, and image restoration. The second part focuses on applications in digital pathology where we will talk about data acquisition, curation, and cleaning, as well as approaches to deep-learning. By the end of this part, you should be aware of potential pitfalls than confound results and have a better understanding of what it takes to carry out a deep-learning project in digital pathology.