Simple Summary Transfer learning plays a major role in medical image analyses; however,
obtaining adequate training image datasets for machine learning algorithms can be …

Breast cancer is the most frequently diagnosed cancer in women accounting for about 30%
of all new cancer cases and the incidence is constantly increasing. Implementation of …

Breast density is an independent risk factor for the development of breast cancer and also
decreases the sensitivity of mammography for screening. Consequently, women with …

Highlights•Breast cancer in young women should be treated based on stage and biology of
disease.•Management of breast cancer in young women requires special considerations …

The prompt and accurate diagnosis of breast lesions, including the distinction between
cancer, non-cancer, and suspicious cancer, plays a crucial role in the prognosis of breast …

Highlights•Breast cancer in young women encompasses unique treatment and survivorship
considerations.•Fertility, ovarian function suppression and premature menopause are major …

We summarise here the information to be provided to women and referring physicians about
percutaneous breast biopsy and lesion localisation under imaging guidance. After …

Optimised communication between patients and the imaging team is an essential
component of providing patient-centred and value-based care. Communication with patients …

Objectives We aimed to assess the performance of radiomics and machine learning (ML) for
classification of non-cystic benign and malignant breast lesions on ultrasound images …

Introduction Quality care in breast cancer is higher if patients are treated in a Breast Center
with a dedicated and specialized multidisciplinary team. Quality control is an essential …