Latest AI and machine learning research in breast cancer for healthcare professionals.
Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public he...
Breast cancer affects millions globally, necessitating precise biomarker testing for effective treat...
Background The ScreenTrustCAD trial was a prospective study that evaluated the cancer detection rate...
Motivation: Biomedical studies increasingly produce multi-view high-dimensional datasets (e.g., mu...
In the event of a nuclear accident, or the detonation of a radiological dispersal device, quickly ...
Based on global genomic status, the cancer tumor is classified as Microsatellite Instable (MSI) an...
A key step in Adaptive Radiation Therapy (ART) workflows is the evaluation of the patient's anatom...
Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic reso...
Neoadjuvant chemotherapy (NAC) has become a standard clinical practice for tumor downsizing in bre...
In this work, the ability of rare VHE gamma ray selection with neural network methods is investiga...
Heat-based cancer treatment, so-called hyperthermia, can be used to destroy tumour cells directly ...
OBJECTIVES: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity o...
Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...
Background Combined mammography and MRI screening is not universally accessible for women with inter...
BACKGROUND: This research aims to use deep learning to create automated systems for better breast ca...
The human epidermal growth factor receptor 2 (HER2) is a critical oncogene implicated in the develop...
Full-Field Digital Mammography (FFDM) is the primary imaging modality for routine breast cancer sc...
Rationale and Objectives: Early prediction of pathological complete response (pCR) can facilitate ...
Background: The radiation oncology clinical practice involves many steps relying on the dynamic in...
This study explores a data-driven approach to discovering novel clinical and genetic markers in ov...
Fiducial marker positions in projection image of cone-beam computed tomography (CBCT) scans have b...