A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth

no code implementations • 15 Sep 2021 • Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra V. Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael Bonham, Julianna D. Ianni

Although melanoma occurs more rarely than several other skin cancers, patients' long term survival rate is extremely low if the diagnosis is missed.

Identifying Reionization Sources from 21cm Maps using Convolutional Neural Networks

no code implementations • 9 Jul 2018 • Sultan Hassan, Adrian Liu, Saul Kohn, Paul La Plante

We create a Convolutional Neural Network (CNN) that is efficiently able to distinguish between 21cm maps that are produced by AGN versus galaxies scenarios with an accuracy of 92-100%, depending on redshift and neutral fraction range.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

Reionization Models Classifier using 21cm Map Deep Learning

no code implementations • 19 Jan 2018 • Sultan Hassan, Adrian Liu, Saul Kohn, James E. Aguirre, Paul La Plante, Adam Lidz

Next-generation 21cm observations will enable imaging of reionization on very large scales.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies