Latest AI and machine learning research in breast cancer for healthcare professionals.
BACKGROUND: Patient-specific dose prediction improves the efficiency and quality of radiation treatm...
BACKGROUND: Pathological complete response (pCR) is considered a surrogate endpoint for favorable su...
Deep-learning (DL)-based auto-contouring solutions have recently been proposed as a convincing alter...
BACKGROUND: Patients with urolithiasis undergo radiation overexposure from computed tomography (CT) ...
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...
In order to deliver accurate and safe treatment to cancer patients in radiation therapy using advanc...
Breast cancer is a commonly occurring disease in women all over the world. Mammogram is an efficient...
It is of interest to document the inhibition of A2780 cell proliferation using Lam.() extract by MT...
Cancer is one of the leading causes of death worldwide. Conventional cancer treatment relies on radi...
Segmentation of organs and structures, as either targets or organs-at-risk, has a significant influe...
Tissue/region segmentation of pathology images is essential for quantitative analysis in digital pat...
Iodine-131 -iodobenzylguanidine (I-IBG) has been utilized as a standard treatment to minimize advers...
The level of human epidermal growth factor receptor-2 (HER2) protein and gene expression in breast c...
BACKGROUND: Accurate assessment of the axillary lymph nodes (aLNs) in breast cancer patients is esse...
There is currently no consensus among plastic surgeons regarding the optimal infection prophylaxis ...
Ultrasound breast imaging is a promising alternative to conventional mammography because it does not...
INTRODUCTION: This study aims to evaluate deep learning (DL)-based artificial intelligence (AI) tech...
Abelson kinase (c-Abl) is a non-receptor tyrosine kinase involved in several biological processes es...
In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are ...
Artificial intelligence, including deep learning, is currently revolutionising the field of medical ...
We have previously proposed an intelligent automatic treatment planning (IATP) framework that builds...