Comparative Evaluation of Breast Ductal Carcinoma Grading: A Deep-Learning Model and General Pathologists’ Assessment Approach

Comparative Evaluation of Breast Ductal Carcinoma Grading: A Deep-Learning Model and General Pathologists’ Assessment Approach

Breast cancer is the most prevalent neoplasia among women, with early and accurate diagnosis critical for effective treatment. In clinical practice, however, the subjective nature of histological grading of infiltrating ductal adenocarcinoma of the breast (DAC-NOS) often leads to inconsistencies amo...

Full description

Bibliographic Details
Main Authors: Maria Magdalena Köteles, Alon Vigdorovits, Darshan Kumar, Ioana-Maria Mihai, Aura Jurescu, Adelina Gheju, Adeline Bucur, Octavia Oana Harich, Gheorghe-Emilian Olteanu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Diagnostics
Subjects:
breast cancer
infiltrating ductal adenocarcinoma
deep-learning model
convolutional neural network-based algorithm
artificial intelligence in cancer grading
observer agreement (AI and pathologists)
Online Access:https://www.mdpi.com/2075-4418/13/14/2326

Internet

https://www.mdpi.com/2075-4418/13/14/2326

Similar Items