Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging

ConclusionsA deep learning approach with 3-dimensional CNNs can distinguish IP and IP-SCC with moderate test classification performance. Although CNNs demonstrate promise to enhance the prediction of IP-SCC using MRIs, more data is needed before they can reach the predictive value already established by human MRI evaluation.This article is protected by copyright. All rights reserved

Source: International Forum of Allergy and Rhinology - January 6, 2022 Category: Allergy & Immunology Authors: George S. Liu, Angela Yang, Dayoung Kim, Andrew Hojel, Diana Voevodsky, Julia Wang, Charles C.L. Tong, Heather Ungerer, James N. Palmer, Michael A. Kohanski, Jayakar V. Nayak, Peter H. Hwang, Nithin D. Adappa, Zara M. Patel Tags: ORIGINAL ARTICLE Source Type: research