Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...
The Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion─Israel Institute of Technology, Haifa 3200003, Israel The ...
Abstract: Brain tumors remain an important global health concern due to their high mortality rates. Accurate and early estimation plays a crucial role in improving patient outcomes. This study ...
Abstract: The most severe cancer that causes death is brain tumor (BT). Even after standard treatment, few of the huge grade BT easily recurrent. While managing patient results, a critical component ...
The quality of radiotherapy auto-segmentation training data, primarily derived from clinician observers, is of utmost importance. However, the factors influencing the quality of clinician-derived ...
According to experts in neurology, brain tumours pose a serious risk to human health. The clinical identification and treatment of brain tumours rely heavily on accurate segmentation. The varied sizes ...
This repository contains the LyNoS dataset described in "Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding". The dataset has now also ...
The study adhered to the standards established in the Declaration of Helsinki. The local ethics committees approved the retrospective analysis of imaging data (EK 055/19). All patients provided ...
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