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pro vyhledávání: '"Sankarapandian, Sivaramakrishnan"'
Autor:
Sankarapandian, Sivaramakrishnan, Kohn, Saul, Spurrier, Vaughn, Grullon, Sean, Soans, Rajath E., Ayyagari, Kameswari D., Chamarthi, Ramachandra V., Motaparthi, Kiran, Lee, Jason B., Shon, Wonwoo, Bonham, Michael, Ianni, Julianna D.
Although melanoma occurs more rarely than several other skin cancers, patients' long term survival rate is extremely low if the diagnosis is missed. Diagnosis is complicated by a high discordance rate among pathologists when distinguishing between me
Externí odkaz:
http://arxiv.org/abs/2109.07554
Gravitational wave detectors such as LIGO and Virgo are susceptible to various types of instrumental and environmental disturbances known as glitches which can mask and mimic gravitational waves. While there are 22 classes of non-Gaussian noise gradi
Externí odkaz:
http://arxiv.org/abs/2107.10667
Bayesian neural networks (BNNs) are a rich and flexible class of models that have several advantages over standard feedforward networks, but are typically expensive to train on large-scale data. In this thesis, we explore the use of small-variance as
Externí odkaz:
https://hdl.handle.net/2144/30745
Autor:
Ianni, Julianna D., Soans, Rajath E., Sankarapandian, Sivaramakrishnan, Chamarthi, Ramachandra Vikas, Ayyagari, Devi, Olsen, Thomas G., Bonham, Michael J., Stavish, Coleman C., Motaparthi, Kiran, Cockerell, Clay J., Feeser, Theresa A., Lee, Jason B.
Publikováno v:
Sci Rep 10, 3217 (2020)
Standard of care diagnostic procedure for suspected skin cancer is microscopic examination of hematoxylin \& eosin stained tissue by a pathologist. Areas of high inter-pathologist discordance and rising biopsy rates necessitate higher efficiency and
Externí odkaz:
http://arxiv.org/abs/1909.11212
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Akademický článek
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