MIDOG FR1 Algorithm

About

Image Version:

e5098dfd-ffe9-4356-9922-b025b2d6ebc3 — Sept. 2, 2021

Summary

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Mechanism

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Interfaces

This algorithm implements all of the following input-output combinations:

	Inputs	Outputs
1	Generic Medical Image Description - Kind Image Read from `/input/<uuid>.mha` or `/input/<uuid>.tif` Generic Medical Image	Mitotic Figures Description Detected mitotic figures, where each point represents the center of a mitotic cell. Additionally or optionally, confidence scores can be returned. Kind Multiple points Write to `/output/mitotic-figures.json` Example Optional fields: "name" and "probability" { "name": "Points of interest", "type": "Multiple points", "points": [ { "name": "Point 1", "point": [ 96.0, 79.8, 0.5 ], "probability": 0.92 }, { "name": "Point 2", "point": [ 130.1, 115.5, 0.5 ], "probability": 0.92 } ], "version": { "major": 1, "minor": 0 } } Mitotic Figures

Validation and Performance

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Challenge Performance

Date	Challenge	Phase	Rank
Sept. 2, 2021	MIDOG2021	MIDOG Preliminary Test Phase (CLOSED)	31
Sept. 3, 2021	MIDOG2021	MIDOG Final Test Phase (CLOSED)	11

Uses and Directions

This algorithm was developed for research purposes only.

Warnings

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Common Error Messages

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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