Tumor Cell

Tumor cell research focuses on understanding tumor biology, improving diagnostics, and optimizing cancer therapies. Current research heavily utilizes deep learning models, such as U-Nets, transformers, and convolutional neural networks, for tasks like image segmentation, classification, and prediction of treatment response based on histopathology and imaging data. These advancements are improving the accuracy and efficiency of cancer diagnosis and treatment planning, particularly through automated analysis of large datasets from various imaging modalities. The ultimate goal is to personalize cancer care by leveraging detailed tumor characterization and predictive modeling to optimize treatment strategies.