Artificial intelligence enhances cancer cell selection for HER2 gene amplification assessment in breast carcinoma

The evaluation of HER2 gene amplification is a time-consuming process that requires quantifying a large number of signals in cancer cells to ensure reproducible results, a task that can be assisted by image analysis (IA) tools. This study aimed to develop and validate an artificial intelligence-based cancer cell detection model for detecting breast carcinoma in bright-field in situ hybridization (ISH) whole-slide images, with the goal of improving cancer cell selection prior to the quantificatio