Latest AI and machine learning research in breast cancer for healthcare professionals.
Invasive breast carcinomas are routinely tested for HER2 using immunohistochemistry (IHC), with refl...
In recent years, deep learning has been used to develop an automatic breast cancer detection and cla...
It is difficult for traditional signal-recognition methods to effectively classify and identify mult...
In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have resulted in significant enth...
The recent introduction of hybrid positron emission tomography/magnetic resonance imaging (PET/MRI) ...
BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ...
INTRODUCTION: Contouring organs at risk (OARs) is a time-intensive task that is a critical part of r...
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...
To diagnose and cure breast cancer early, thus reducing the mortality of patients with breast cancer...
In recent years, radioactive sources have been widely used in various fields (e.g., nuclear industry...
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...
PURPOSE: Segmenting organs in cone-beam CT (CBCT) images would allow to adapt the radiotherapy based...