Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

The purpose of this study was to determine the feasibility of a deep convolutional neural network (dCNN) to accurately detect abnormal axillary lymph nodes on mammograms. In this retrospective study, 107 mammographic images in mediolateral oblique projection from 74 patients were labeled to three cl...

Full description

Bibliographic Details
Main Authors: Frederik Abel, Anna Landsmann, Patryk Hejduk, Carlotta Ruppert, Karol Borkowski, Alexander Ciritsis, Cristina Rossi, Andreas Boss
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Diagnostics
Subjects:
mammography
axillary lymph nodes
suspicious lymph nodes
breast cancer
mammography screening
dCNN
Online Access:https://www.mdpi.com/2075-4418/12/6/1347

Internet

https://www.mdpi.com/2075-4418/12/6/1347

Similar Items