Latest AI and machine learning research in other cancers for healthcare professionals.
Real-time simulation of bio-heat transfer can improve surgical feedback in thermo-therapeutic treatm...
Cancer driver genes, i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of ...
AIM: To realise the automated prediction of soft-tissue sarcoma (STS) grading and lung metastasis ba...
Prognostic tumor growth modeling via volumetric medical imaging observations can potentially lead to...
The objective of our study was to compare the performance of radiologicradiomic machine learning (M...
Recent progress on bioresorbable and bio-compatible miniature systems provides prospects for develop...
Investigate 3D (spatial and temporal) convolutional neural networks (CNNs) for real-time on-the-fly ...
Transfer learning techniques are recently preferred for the computer aided diagnosis (CAD) of variet...
OBJECTIVES: Most population-based cancer databases lack information on metastatic recurrence. Electr...
The application of deep learning for the detection of lymph node metastases on histologic slides has...
We propose a new method for breast cancer screening from DCE-MRI based on a post-hoc approach that i...
Adequate tumor detection is critical in complete transurethral resection of bladder tumor (TURBT) to...
Detection of dysmorphic cells in peripheral blood (PB) smears is essential in diagnostic screening o...
PURPOSE: The purpose of this study was to investigate the overlaps between gross target volume (GTV)...
INTRODUCTION: The pathological grading of pancreatic neuroendocrine neoplasms (pNENs) is an independ...
BACKGROUND: Outcomes for people with first-episode psychosis are highly heterogeneous. Few reliable ...
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility compl...
Chemotherapy resistance is a major challenge to the effective treatment of cancer. Thus, a systemati...
PURPOSE: To evaluate 2 published normal tissue complication probability models for radiation-induced...
BACKGROUND CONTEXT: Preoperative survival estimation in spinal metastatic disease helps determine th...
Staging third molar development is commonly used for age estimation in subadults. Automated developm...