This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
A total of 236 patients underwent abdominal CT scanning, including both unenhanced and contrast-enhanced CT. Using MaZda software, regions of interest (ROIs) were identified, and texture features were ...
Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
Talk about a breath of fresh air. Researchers have developed a groundbreaking device that may one day make detecting lung cancer as easy as exhaling. “We built a screening tool that could allow ...
This is a useful tool for code-less analysis of patterns in cell migratory behaviours in vivo using intravital microscopy data and allows correlation with spatial features of the tumour ...
President Donald Trump signed an executive order Tuesday aimed at improving ways to identify and treat pediatric cancers using artificial intelligence. Specifically, the executive order instructs the ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer Capecitabine, an oral ...
Optical manipulation and detection of biological particulates are crucial procedures in biophotonics. Optical sectioning (OS) opens the avenue to three-dimensional (3D) microscopy, but nonoptical ...
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