A team at UCF’s Center for Research in Computer Vision have created an system that can detect trace amounts of lung cancer with 95 percent accuracy.
Doctors may soon have help in the fight against cancer thanks to the UCF’s Center for Research in Computer Vision.
Engineers at the center have taught a computer how to detect tiny specks of lung cancer in CT scans, which radiologists often have a difficult time identifying. The artificial intelligence system is about 95 percent accurate, compared to 65 percent when done by human eyes, the team says.
“We used the brain as a model to create our system.” – Rodney LaLonde, a doctoral candidate
“We used the brain as a model to create our system,” says Rodney LaLonde, a doctoral candidate and captain of UCF’s hockey team. “You know how connections between neurons in the brain strengthen during development and learn? We used that blueprint, if you will, to help our system understand how to look for patterns in the CT scans and teach itself how to find these tiny tumors.”
The approach is similar to the algorithms that facial-recognition software uses. It scans thousands of faces looking for a particular pattern to find its match.
Engineering Assistant Professor Ulas Bagci leads the group of researchers in the center that focuses on AI with potential medical applications.
The group fed more than 1,000 CT scans – provided by the National Institutes of Health through a collaboration with the Mayo Clinic – into the software they developed to help the computer learn to look for the tumors.
Graduate students working on the project had to teach the computer different things to help it learn properly. Naji Khosravan, who is pursuing his doctorate degree, created the backbone of the system of learning. His proficiency at novel machine learning and computer vision algorithms led to his summer as an intern at Netflix helping the company with various projects.
“Lung cancer is the number one cancer killer in the United States and if detected in late stages, the survival rate is only 17 percent.” – Engineering Assistant Professor Ulas Bagci
LaLonde taught the computer how to ignore other tissue, nerves and other masses it encountered in the CT scans and analyze lung tissues. Sarfaraz Hussein who earned his doctorate degree this past summer, is fine-tuning the AI’s ability to identify cancerous versus benign tumors, while graduate student Harish Ravi Parkash is taking lessons learned from this project and applying them see if another AI system can be developed to help identify or predict brain disorders.
“I believe this will have a very big impact,” Bagci says. “Lung cancer is the number one cancer killer in the United States and if detected in late stages, the survival rate is only 17 percent. By finding ways to help identify earlier, I think we can help increase survival rates.”
The team will present its finding in September at the largest premier conference for medical imaging research – the MICCAI 2018 conference in Spain. The team’s work has been published in advance of the conference.
The next step is to move the research project into a hospital setting; Bagci is looking for partners to make that happen. After that, the technology could be a year or two away from the marketplace, Bagci says.
“I think we all came here because we wanted to use our passion for engineering to make a difference and saving lives is a big impact,” LaLonde says.
Ravi Prakash agrees. He was studying engineering and its applications to agriculture before he heard about Bagci and his work at UCF. Bagci’s research is in the area of biomedical imaging and machine learning and their applications in clinical imaging. Previously, Bagci was a staff scientist and the lab manager at the NIH’s Center for Infectious Disease Imaging lab, in the department of Radiology and Imaging Sciences.
The Latest on: Artificial intelligence diagnostics
via Google News
The Latest on: Artificial intelligence diagnostics
- Artificial Intelligence research at University of Adelaide gets $20 million booston October 8, 2020 at 1:57 pm
Research into Artificial Intelligence and Machine Learning at the University of Adeaide has received a $20 milion boost in funding from the Federal Government to underpin the establishment of a new ...
- Technological Advancements of ophthalmic devices to drive the Diagnostic And Monitoring Ophthalmic Devices And Equipment Global Market 2020on October 8, 2020 at 3:14 am
Request For A Sample Of The Diagnostic And Monitoring Ophthalmic Devices And Equipment Market Report: Diagnostic And Monitoring Ophthalmic Devices And Equipment Global Market Report 2020-30: Covid 19 ...
- Skoda uses 'artificial intelligence' for more accurate car diagnosticson October 8, 2020 at 2:39 am
just-auto gives its paid members access to the very best automotive market coverage. And now there’s just-auto plus, our premium membership that gives you exclusive component forecast data, company ...
- NEC OncoImmunity AS and Oslo University Hospital Team Up to Develop a Diagnostic for COVID-19 Using Artificial Intelligenceon October 8, 2020 at 12:04 am
NEC OncoImmunity AS (NOI), a subsidiary of NEC Corporation (NEC), and Oslo University Hospital (OUH) are pleased to announce that they have recently been awarded a prestigious grant from the Research ...
- ŠKODA AUTO uses artificial intelligence for even more accurate car diagnosticson October 7, 2020 at 8:29 am
The ŠKODA AUTO After Sales department and ŠKODA AUTO DigiLab are trialling a new smartphone app: “Sound Analyser”. The app uses artificial intelligence (AI) and helps to quickly and accurately ...
- Imbio teams up with Genentech to develop imaging diagnostics for lung diseaseson October 6, 2020 at 4:34 am
Imbio, a provider of artificial intelligence (AI) solutions for medical imaging analysis, has partnered with Roche (OTCQX:RHHBY) unit, Genentech, to develop quantitative imaging diagnostics for lung ...
- Imbio Partners with Genentech to Develop Imaging Diagnostics for Lung Diseaseson October 6, 2020 at 4:05 am
Imbio, a leading provider of artificial intelligence (AI) solutions for medical imaging analysis, has partnered with Genentech, a member of ...
- Faster cancer diagnoses using Artificial Intelligenceon October 1, 2020 at 9:13 pm
The future is here: an e-commerce and gaming giant teamed up with an Artificial Intelligence (AI) startup in Japan to create an innovative, promising solution to diagnose – and fight – cancer using ...
- Harnessing big data and artificial intelligence to predict future pandemic spreadon September 29, 2020 at 8:51 am
During COVID-19, artificial intelligence (AI) has been used to enhance diagnostic efforts, deliver medical supplies and even assess risk factors from blood tests. Now, artificial intelligence is being ...
- Artificial Intelligence In Diagnostics Market 2020: Breakdown Data by Manufacturers, Segments and Regions 2027on September 29, 2020 at 5:38 am
Precedence Research report on the global Artificial Intelligence In Diagnostics market studies past as well as ...
via Bing News