Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole‐Slide Histopathology Images: A Retrospective Multicenter Study (Adv. Sci. 10/2025)
Source abstract
Abstract
Gastric Cancer Diagnostics The frontispiece design centers on a Phoenix, symbolizing rebirth and transformation, reflecting HER2Net's groundbreaking impact on gastric cancer diagnostics. The pink and purple parts of the tail feathers reflect H&E pathological slide images, and the brown sections of the tail feathers symbolize HER2Net's capability to predict HER2 status based on these H&E image, showcasing its precision and integration of AI in medical technology. More details can be found in article number 2408451 by Liang Zhao and co-workers.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: AI in cancer detection · Radiomics and Machine Learning in Medical Imaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References
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