Latest AI and machine learning research in breast cancer for healthcare professionals.
Breast cancer, the second most prevalent cancer among women worldwide, necessitates the exploration ...
BACKGROUND: Breast cancer (BRCA) represents a substantial global health challenge marked by inadequa...
Relapse and metastasis occur in 30-40% of breast cancer patients, even after targeted treatments lik...
The SINFONIA project's main objective is to develop novel methodologies and tools that will provide ...
Bone metastasis (BM) is a serious clinical symptom of advanced colorectal cancer. However, there is...
Breast cancer poses a significant health threat to women, necessitating advancements in diagnostic t...
MRI radiomics has been explored for three-tiered classification of HER2 expression levels (i.e., HE...
Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-M...
RATIONALE AND OBJECTIVES: The aim of this study was to evaluate the capability of an ultrasound (US)...
Radiation dose and image quality in radiology are influenced by the X-ray prime factors: KVp, mAs, a...
INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a rel...
BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to eva...
BACKGROUND: Preoperative chemotherapy (PC) is an important component of Colorectal cancer (CRC) trea...
Breast cancer is a prominent cause of death among women worldwide. Infrared thermography, due to its...
PURPOSE: Magnetic resonance (MR)-guided radiation therapy enables online adaptation to address intra...
Breast cancer is a significant global public health concern, with various treatment options availabl...
BACKGROUND: With the development of novel anti-HER2 targeted drugs, such as ADCs, it has become incr...
To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined wit...
This study aimed to compare the long-term outcomes of breast-conserving surgery plus radiotherapy (B...
BACKGROUND AND PURPOSE: During the ESTRO 2023 physics workshop on "AI for the fully automated radiot...
RATIONALE AND OBJECTIVES: This study evaluated the performance of super-resolution deep learning-bas...