Simple Summary Despite the increased use of neoadjuvant chemotherapy in the early
setting of breast cancer, there is a clinical need for predictive markers of response in daily …

Chemotherapy is an essential treatment for breast cancer, inducing cancer cell death.
However, chemoresistance is a problem that limits the effectiveness of chemotherapy. Many …

In this study, a novel deep learning-based methodology was investigated to predict breast
cancer response to neo-adjuvant chemotherapy (NAC) using the quantitative ultrasound …

Background Neoadjuvant chemotherapy (NAC) is the standard of care for patients with
locally advanced breast cancer (LABC). The study was conducted to investigate the utility of …

Abstract About 20–40% of cancer patients develop brain metastases, causing significant
morbidity and mortality. Stereotactic radiation treatment is an established option that delivers …

Early prediction of response to neoadjuvant chemotherapy (NAC) in breast cancer is crucial
for guiding therapy decisions. In this work, we propose a deep learning based approach for …

The presented studies evaluate for the first time the efficiency of tumour classification based
on the quantitative analysis of ultrasound data originating from the tissue surrounding the …

This study investigated the effectiveness of pre-treatment quantitative MRI and clinical
features along with machine learning techniques to predict local failure in patients with brain …

Objectives: To explore the predictive value of radiomics nomogram using pretreatment
ultrasound for disease-free survival (DFS) after resection of triple negative breast cancer …

Objectives Three-dimensional (3D) H-scan is a new ultrasound (US) technique that images
the relative size of acoustic scatterers. The goal of this research was to evaluate use of 3D H …