Neeraj Kumar - Deep learning for computational pathology
Channel: Hasgeek TV
Date: 2016-07-05

We strongly believe that the future of not only medical detection and diagnosis but also prognosis and treatment planning will be strongly influenced by pattern recognition and data analysis. Medical imaging will be no different, especially with the advent of techniques such as unsupervised feature extraction and deep learning aided by high performance computing (HPC) in the form of cloud clusters and GPU-based desktops. Currently, we are actively working on pattern recognition applications to histological images. Specifically, we have developed state-of-the art deep learning algorithms for nuclei and mitosis detection, epithelium vs. stroma classification, nuclear abnormality detection etc. In this talk, we will discuss about some of these algorithms and their role in deriving biological insights that can pave the way for improving our understanding of human carcinogenesis.