Related Experiment Video

Updated: Sep 26, 2025

Author Spotlight: Anterior HR-OCT as a Non-Invasive Tool for Characterizing Ocular Surface Squamous Neoplasia
06:15

Author Spotlight: Anterior HR-OCT as a Non-Invasive Tool for Characterizing Ocular Surface Squamous Neoplasia

Published on: August 9, 2024

1.4K

O-RADS US: A Retrospective Assessment of Prediction of Malignancy in a High-Risk Setting

Deborah Levine1

  • 1From the Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215.

Radiology
|April 19, 2022
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way04:45

Intraoperative Assessment of Resection Margins in Oral Cavity Cancer: This is the Way

Published on: May 10, 2021

3.9K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

211

Related Concept Videos

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
342