An automated computational biomechanics workflow for improving breast cancer diagnosis and treatment

TP Babarenda Gamage, DTK Malcolm… - Interface …, 2019 - royalsocietypublishing.org
Clinicians face many challenges when diagnosing and treating breast cancer. These
challenges include interpreting and co-locating information between different medical …

Diffeomorphic Multi-resolution Deep Learning Registration for Applications in Breast MRI

MG French, GD Maso Talou… - … Conference on Medical …, 2023 - Springer
In breast surgical planning, accurate registration of MR images across patient positions has
the potential to improve the localisation of tumours during breast cancer treatment. While …

The identification of the unloaded configuration of breast tissue with unknown non-homogenous stiffness parameters using surface measured data in deformed …

M Hajhashemkhani, MR Hematiyan - Computers in biology and medicine, 2021 - Elsevier
Large deformation analysis of the breast is known as a useful approach for locating the
tumor and treatment strategies of breast cancer, for which knowing the breast stiffness …

Diffeomorphic Multi-resolution Deep Learning Registration for Applications

MG French, GDM Talou, TPB Gamage… - … and Solutions in …, 2024 - books.google.com
In breast surgical planning, accurate registration of MR images across patient positions has
the potential to improve the localisation of tumours during breast cancer treatment. While …

Rapid prediction of breast biomechanics under gravity loading using surrogate machine learning models

MD Vu, GDM Talou, H Bai, PMF Nielsen… - … and Robustness of …, 2023 - books.google.com
Identifying and localising breast tumours is challenging due to differing patient positions
between clinical examination and treatment procedures. Individualspecific, physics-driven …

Development of techniques for surgical planning in breast cancer treatment

F Alfano - 2023 - oa.upm.es
Breast cancer is the most common cancer among women worldwide. In 2020, there were 2.3
million newly diagnosed female breast cancer cases, representing almost one in four of all …

Rapid Prediction of Breast Biomechanics Under Gravity Loading Using Surrogate Machine Learning Models

M Dang Vu, GD Maso Talou, H Bai… - … Conference on Medical …, 2021 - Springer
Identifying and localising breast tumours is challenging due to differing patient positions
between clinical examination and treatment procedures. Individual-specific, physics-driven …