Slideflow: Deep Learning for Digital Histopathology with Real-Time
Whole-Slide Visualization

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization

9 April 2023

Andrew Srisuwananukorn

Frederick M. Howard

Anran Li

Alexander T. Pearson

Papers citing "Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization"

4 / 4 papers shown

Title
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 35 0 0 03 Jan 2025
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 83 325 0 20 Sep 2021
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 191 1,019 0 26 Mar 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015