Latest AI and machine learning research in breast cancer for healthcare professionals.
BACKGROUND: Routinely delineating of important skeletal growth centers is imperative to mitigate rad...
Iterative reconstruction (IR) techniques are susceptible to contrast-dependent spatial resolution, ...
INTRODUCTION: Chemotherapy drug wasting is a huge problem in oncology that not only results in exces...
In recent years, radioactive sources have been widely used in various fields (e.g., nuclear industry...
To diagnose and cure breast cancer early, thus reducing the mortality of patients with breast cancer...
As the ground-based instruments for measuring net radiation are costly and need to be handled skillf...
Early accurate mammography screening and diagnosis can reduce the mortality of breast cancer. Althou...
The three horizons model is a framework that helps manage an organization's innovation strategy. Thi...
Mammogram mass detection is crucial for diagnosing and preventing the breast cancers in clinical pra...
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods inc...
Background Photon-counting detector (PCD) CT and deep learning noise reduction may improve spatial r...
The efficient production of solid-dosage oral formulations using eco-friendly supercritical solvents...
DNA methylation is a process that can affect gene accessibility and therefore gene expression. In th...
BACKGROUND: Recently, stratification of high-risk stage II colon cancer (CC) and the need for adjuva...
Recently, dental cone-beam computed tomography (CBCT) methods have been improved to significantly re...
Hematologic malignancies are model diseases for understanding neoplastic transformation and serve as...
Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer st...
Deep inspiration breath-hold (DIBH) is widely used to reduce the cardiac dose in left-sided breast c...
Nowadays, supercritical CO(SC-CO) is known as a promising alternative for challengeable organic solv...
Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer wit...
Background Trastuzumab emtansine (T-DM1) is an antibody-drug conjugate approved for use in human epi...