Oncology | Surgery Personalized surgical recommendations and quantitative therapeutic insights for patients with metastatic breast cancer: Insights from deep learning. July 1, 2024
Clinical Genetics | Molecular Biology | Oncology Rational thresholding of circulating tumor DNA concentration for improved surveillance of metastatic breast cancer. February 6, 2024
Artificial Intelligence | Oncology | Pathology Designing a Deep Learning-Driven Resource-Efficient Diagnostic System for Metastatic Breast Cancer: Reducing Long Delays of Clinical Diagnosis and Improving Patient Survival in Developing Countries. November 30, 2023
Artificial Intelligence | Oncology | Radiology Artificial intelligence for predicting five-year survival in stage IV metastatic breast cancer patients: A focus on sarcopenia and other host factors. October 14, 2022
Oncology | Radiology Influence of inputs for bone lesion segmentation in longitudinal F-FDG PET/CT imaging studies. September 10, 2022
Oncology | Radiology Automatic Segmentation of Metastatic Breast Cancer Lesions on F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment. January 11, 2022
Oncology | Radiology Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data. September 2, 2021
Oncology | Radiology Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer. October 6, 2020
Oncology | Radiology Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images. October 6, 2020
Pathology Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer. March 7, 2019