Work

Additional file 1: Figure S1. of Micro-anatomical quantitative optical imaging: toward automated assessment of breast tissues

Year: 2015

Type: dataset

Abstract: Illustration of methodology used to select MSER intensity parameters. The intensity parameters MaxVariation, MinDiversity, and Delta were selected by varying each parameter one at a time. The area fraction (AF) was calculated for each representative image after each iteration of MSER. Each intensity parameter was plotted as a function of AF. Values for the intensity parameters were selected based on which values correctly isolated nuclei from the representative images and which values led to the largest differences between tumor and benign images. Scale bar 100Â Îźm. (ZIP 140 kb)

Source: Figshare

DOI: 10.6084/m9.figshare.c.3644015_d1

Authors: Dobbs, Jessica, Mueller, Jenna, Krishnamurthy, Savitri, Dongsuk Shin, Kuerer, Henry, Yang, Wei, Ramanujam, Nirmala, Richards-Kortum, Rebecca

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394354950

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