Breast Cancer

Artificial Intelligence Helps Pathologists Increase Diagnostic Accuracy and Efficiency in the Detection of Breast Cancer Lymph Node Metastases

Lymph node evaluation for the presence of breast cancer metastases is a critical component of breast cancer staging and treatment planning. Artificial intelligence tools for …

juan-a.-retamero

A Deep Learning Artificial Intelligence Algorithm Helps Pathologists Improve Diagnostic Accuracy and Efficiency in the Detection of Lymph Node Metastases in Breast Cancer Patients

We present a deep learning AI algorithm designed to assist pathologists in detecting breast cancer lymph node metastases. In a reader study, pathologists using the AI system …

juan-retamero

Abstract PD11-02: Subtyping Invasive Carcinomas and High-Risk Lesions for Machine Learning Based Breast Pathology

We present a machine learning approach for subtyping invasive carcinomas and high-risk lesions in breast pathology whole slide images. Our system leverages deep learning to …

matthew-g.-hanna

Morphological Subtyping of Breast Cancer Using Machine Learning

We present a weakly supervised machine learning approach for morphological subtyping of breast cancer in whole slide images. Our system classifies invasive breast carcinomas into …

matthew-hanna

Morphological Breast Cancer Subtyping by Weakly Supervised Neural Networks

We present a weakly supervised deep learning approach for morphological subtyping of breast cancer in whole slide images. Using image-level labels, our neural network system …

matthew-hanna

Abstract PD6-03: Clinical-Grade Detection of Breast Cancer in Biopsies and Excisions Using Machine Learning

We present a clinical-grade machine learning system for detecting breast cancer in biopsies and excisions. The system was developed and validated on a large dataset of whole slide …

matthew-g.-hanna