About this Class

Registration: https://btep.ccr.cancer.gov/classes/ai_two/ Meeting Link: https://cbiit.webex.com/cbiit/j.php?MTID=m8f1460fe5079163dd2a2a4e2641c227f Description: 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 consists of two parts. In the part , 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. Presenters: Gianluca Pegoraro PhD (Staff scientist) , G Tom Brown MD/PhD (Staff clinician), Center for Cancer Research, NCI