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

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

15 September 2021

Sivaramakrishnan Sankarapandian

Vaughn Spurrier

R. V. Chamarthi

Michael J. Bonham

Julianna D. Ianni

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

2 / 2 papers shown

Title
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression S. Grullon Vaughn Spurrier Jiayi Zhao C. Chivers Yang Jiang K. Motaparthi Michael J. Bonham Julianna D. Ianni 14 0 0 10 Oct 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015