Researchers from the Intel lab in Pittsburgh have been working with physicians on a tool to assist them in diagnosing skin cancer. At IDF in San Francisco this week, they demonstrated the project. Once a digital photo of the skin lesion is captured, doctors can use the image to query for similar cases in a large database of skin lesions that have already been diagnosed. Having access to this collection of relevant knowledge, doctors will have more information to treat their patients.ISADS stands for Interactive Search Assisted Decision Support. The goal is to enable doctors to make more informed decisions about a given case by presenting relevant annotated cases from large medical repositories. Unlike systems that make decisions for the physicians, ISADS is a tool for search and comparison to medically relevant annotated medical images, where retrieval is based on image content rather than text or metadata. Mei Chen describes the project: One application we are working on is ISADS for melanoma detection. Melanoma is the most fatal kind of skin cancer, and its incidence has been increasing in the U.S. To develop an application for real clinical practice, we collaborate with physicians from University of Pittsburgh to make it fit into the clinical work flow. To achieve this we streamline and automate the operations as well as designing the interface to be physician-friendly with just the right features. Automated interpretation of medical images is challenging. From removing artifacts to finding lesion boundaries to extracting color characteristics, we develop algorithms that are driven by domain-knowledge, employ computer vision techniques and statistical machine learning to keep improving the performance. Hopefully in time, this tool will enable doctors to more quickly and accurately diagnose melanoma.
Connect With Us
- nhat phat on How do you package ‘must-have’ security in the Internet of Things world?
- fille infidele on How do you package ‘must-have’ security in the Internet of Things world?
- Divya Kolar on Face Age Progression: Technology that can help bring missing children home
- Edilizia popolare on Face Age Progression: Technology that can help bring missing children home
- Divya Kolar on Intel Labs at Intel Developer Forum 2014
- Big Data
- Connected Car
- Context Aware
- Data Society
- Energy Efficiency
- High Performance Computing
- Intel Labs
- Intel Labs Europe
- People & Practices Research
- Research Day
- Social Computing
- US Innovation
Tags#IntelR&Dday @idf08 Big Data circuits Cloud Computing Ct CTO energy efficient Future Lab Future Lab Radio HPC IDF IDF2008 IDF 2010 Immersive Connected Experiences innovation Intel Intel Labs Intel Labs Europe Intel Research ISSCC Justin Rattner many core microprocessor mobility multi-core parallel computing parallel programming radio Rattner ray tracing research Research@Intel Research At Intel Day Robotics security silicon photonics software development Stanford technology terascale virtual worlds Wi-Fi WiMAX wireless