Latest AI and machine learning research in breast cancer for healthcare professionals.
The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened...
Conventional cancer therapies, including surgery, radiotherapy, and chemotherapy, are not tumor site...
Breast cancer is the most common type of cancer among women worldwide. Traditional treatments, incl...
An esophageal cancer intelligent diagnosis system is developed to improve the recognition rate of es...
Concerns over need for CT radiation dose optimization and reduction led to improved scanner efficien...
BACKGROUND: Deep learning methods have great potential to predict treatment response. The objective ...
OBJECTIVES: Because radiotherapy is indispensible for treating cervical cancer, it is critical to ac...
OBJECTIVES: Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image...
Cardiotoxicity is a severe side effect for colorectal cancer (CRC) patients undergoing fluoropyrimid...
PURPOSE: Concern about a long-term effect of the delivery of intensity modulated radiation therapy (...
INTRODUCTION: Nipple-sparing mastectomy (NSM) can be performed for the treatment of breast cancer an...
PURPOSE: Ultrasound (US) imaging is an established imaging modality capable of offering video-rate v...
PURPOSE: We develop a deep learning (DL) radiomics model and integrate it with circulating tumor cel...
A common gynecological disease in the world is breast cancer that early diagnosis of this disease ca...
PURPOSE: To investigate multiple deep learning methods for automated segmentation (auto-segmentation...
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-ch...
Kilovoltage cone-beam computed tomography (CBCT)-based image-guided radiation therapy (IGRT) is used...
OBJECTIVE: Dual energy CT (DECT) has been shown to estimate stopping power ratio (SPR) map with a hi...
Although significant advancements in computer-aided diagnostics using artificial intelligence (AI) h...
BACKGROUND AND PURPOSE: We explored the feasibility of automated, arterial input function independen...
OBJECTIVE: To study the impact of artificial intelligence (AI) on the performance of mammogram with ...