Identification of Gastric Cancer Tumor Heterogeneity from Histopathology images using Deep Learning.

By leveraging deep learning algorithms, we can extract valuable insights from histopathology images, enabling us to characterize tumor heterogeneity with unprecedented detail and accuracy. This analysis holds great promise for improving our understanding of gastric cancer progression, treatment response, and patient outcomes.

Our work represents a significant advancement in the field of oncology, offering a non-invasive and highly precise method for studying tumor heterogeneity

This innovative approach aims to unravel the complex landscape of gastric cancer tumors by analyzing the diverse cellular compositions and structural patterns present within them.




Long-term efficiency



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