Tumor Detection in Lymph Nodes


Logo for Tumor Detection in Lymph Nodes

About

Version:
a26e4c12-34e0-4528-8b11-9b246fba5ce2
Last updated:
Feb. 24, 2020, 3:26 p.m.
Associated publication:
Bandi P, Geessink O, Manson Q, et al.. From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans Med Imaging. 2019;38(2):550-560.
Inputs:
  • Generic Medical Image 
Outputs:
  • Generic Overlay  (An overlay of unknown type. Legacy, please use alternative interfaces.)
  • Results JSON File  (A collection of results of unknown type. Legacy, if possible please use alternative interfaces.)

Model Facts

Summary

Mechanism

Validation and Performance

Uses and Directions

This algorithm was developed for research purposes only.

Warnings

Common Error Messages

Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3