Latest AI and machine learning research in breast cancer for healthcare professionals.
In the domain of histopathology analysis, existing representation learning methods for biomarkers pr...
BACKGROUND AND OBJECTIVE: Single-source domain generalization (SSDG) aims to generalize a deep learn...
BACKGROUND: First-line treatment for advanced gastric adenocarcinoma (GAC) with human epidermal grow...
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epid...
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagn...
. The primary purpose of this work is to demonstrate the feasibility of a deep convolutional neural ...
Breast cancer is a significant health challenge, with accurate and timely diagnosis being critical t...
BACKGROUND: Programmed cell death (PCD) is closely related to the occurrence, development, and treat...
During acquisition and reconstruction, medical images may become noisy and lose diagnostic quality. ...
Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance ...
The need to mitigate the adverse effects of chemotherapy has driven the exploration of innovative dr...
A 78-year-old female patient was initially treated with laparoscopic radical cholecystectomy for gal...
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the s...
BACKGROUND AND PURPOSE: Accurate segmentation of the clinical target volume (CTV) is essential to de...
Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...
Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) has become standar...
Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...
Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical s...
PURPOSE: Ovarian cancer patients with a Homologous Recombination Deficiency (HRD) often benefit from...
BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...
To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...