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Data Science Meets Life Science: Using Deep Learning for Better Cancer Diagnosis

first_imgIn a recent study presented in March at the Strata Data Conference in San Jose, California, Dell EMC researchers Mauro Damo, Wei Lin, Ronaldo Braga, and William Schneider demonstrated that using machines to analyze medical images—specifically diseased human organs—can minimize medical errors and speed up disease diagnosis.Using more than 5,000 magnetic resonance images (MRI) scanned along the transverse plane from the Cancer Imaging Archive, the Dell EMC data scientists attempted to identify bladder cancer using a six-layer convolution neural network (CNN). Such networks have successfully identified faces, objects, and traffic signs, and are used to power vision in robots and self-driving cars.The Dell EMC study tracked four out of fourteen types of primary tumors—T2a, T2b, T3a, and T4a—in patients already diagnosed with bladder cancer. Algorithms were also used to identify significant differences among the images to assess what features could be relevant for bladder cancer detection. Bladder cancer, the fourth most common cancer in men, impacts 430,000 people and their families each year around the world. The direct medical cost of bladder cancer care was $125B in 2010 globally.To conduct the research, team members used powerful hardware and open-source software, including:Dell EMC PowerEdge servers with Intel Xeon E5-2680 processors @ 2.7GHz with 8 cores and 384 GBNVIDIA GRID K2 with 2 GPUsPython open-source script languageTensorFlow 1.4 open-source deep learning packageSimpleITK open-source image transformation packageResearchers learned that GPU and CPU memory are more relevant than cycles in hardware, and that out of memory errors are very common when working with medical data. For models that take weeks to run, it’s better to improve memory and cycles or use a distributed platform; otherwise, it’s preferable to have more memory to fit all your weights initialization and mini batch processes.Using the six-layer convolutional neural network (CNN), the study’s deep learning model improved Top 1 accuracy from 72.3 percent to 81.3 percent, showing the potential to explore similar techniques in practical applications. Researchers noted that more data in the early stages of cancer, the analysis of more types of primary tumors, and the use of independent CNN models for all planes (coronal, transverse, and sagittal) would likely improve results.To learn more about how deep learning can enhance research and processes in healthcare, financial services, retail, manufacturing, and other industries, explore Dell EMC Ready Solutions for AI, Machine and Deep Learning or contact your Dell EMC representative at 1-866-438-3622. We’d be glad to show you a demo in our Dell EMC HPC & AI Innovation Lab, which is at the cutting edge of machine learning, testing new technologies, and tuning algorithms and applications to keep pace with the constantly evolving landscape.last_img read more

Red Sox swap starters, pegging David Price on short rest instead of Chris Sale for Game 5

first_img Cody Bellinger homer gives Dodgers their first walkoff win of season “We talked about it before the game and this is a good spot for David, in a National League park to start a game,” Cora said. “Obviously he’s been throwing the ball well. It’s not that we’re playing with the lead, but we feel that for the team, for where we’re at pitching-wise it’s good for – to go with David. We talked about it the whole day and we decided, I just talked to Chris and David, and that’s what we’re going to do.”The decision led to speculation that Sale is not healthy, but Cora said he’s OK. Cora said Sale would pitch Game 6 back in Boston, if necessary.Sale missed much of the second half of the season with a shoulder issue, and when he returned his velocity had dipped. Since Sale came off the disabled list, he’s performed even better with extra rest, so perhaps the Red Sox are just trying to give him that for Game 6. They also might be planning to use both of them, with Sale in relief, for Game 5.If they use both Price and Sale in Game 5 and lose, they’d have Nate Eovaldi or Rick Porcello for Games 6 and 7.Sale gave up three runs in four innings in Game 1. Price gave up two runs in six innings in Game 2. Price also faced three batters, throwing 13 pitches on Friday night. Dodgers hit seven home runs, sweep Colorado Rockies LOS ANGELES — Just after the Boston Red Sox pulled within one victory of a World Series title, Manager Alex Cora made a surprise announcement regarding the pitcher they hope can finish it off.David Price will start Game 5 on Sunday, with just three days since he started Game 2 and just one day after he made a relief appearance in Game 3.Chris Sale had been scheduled to start Game 5. He even spoke about his scheduled start in the press conference before Game 4 on Saturday.After the game, though, Cora announced the switch, without giving a clear reason why.Related Articles How Dodgers pitcher Ross Stripling topped the baseball podcast empire center_img Newsroom GuidelinesNews TipsContact UsReport an Error Fire danger is on Dave Roberts’ mind as Dodgers head to San Francisco Dodgers’ Max Muncy trying to work his way out of slow start last_img read more