Abstract

Deep Learning in Medical Imaging: Solving the Data Augmentation Challenge for Enhanced-Value Radiology Reporting

In this talk, Hayit will give an overview of the Deep Learning computer-aided detection and diagnosis tools they are developing, which can support the detection, segmentation and the characterization tasks of the radiologist. Examples will be presented in Chest Xray pathology identification....


Session No: SIL8153
Speaker: Hayit Greenspan
Type:

AI in Healthcare

Date: Thursday - October 18, 2018 05:00 PM - 05:45 PM
Location: Hall M
Topic: AI in Healthcare
Industry: Software

In this talk, Hayit will give an overview of the Deep Learning computer-aided detection and diagnosis tools they are developing, which can support the detection, segmentation and the characterization tasks of the radiologist. Examples will be presented in Chest Xray pathology identification, CT liver analysis, as well as MRI brain lesion segmentation. Obtaining large-scale annotated datasets is a key challenge in the medical domain. She will present novel methods they are developing to solve these data challenges. Hayit will conclude with an overview of possible translations of these tools towards augmented radiology reports and advanced radiologist workflows.