AI in Image Analysis, Presented by CCR: AIR and High Throughput Imaging Facility

Topic: Overview of Deep Learning Applications in Bioimaging and Digital Pathology

Deep learning is a subclass of machine learning which has shown excellent performance in learning tasks on unstructured data, such as digital images. This talk discusses some recent development of machine learning, with emphasis on the cellular object segmentation and tracking, image classification, and image restoration. This talk focuses on applications in digital pathology, including data acquisition, curation, and cleaning, and approaches to deep learning. By the end of this talk, 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.