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Information × Registration Number 2123U006670, Article popup.category Препринт Title popup.author Zakharchenko Iryna popup.publication 01-01-2023 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/3951 popup.publisher Description This research focuses on the topic of weakly-supervised tumor segmentation. The proposed pipeline involves the usage of a classification model to make predictions regarding the presence of a tumor in an image. Subsequently, the CAM (Class Activation Mapping) approach is employed to identify the most relevant regions within the image as determined by the model. The underlying concept is that the model will learn to identify tumor regions, resulting in higher activations in those areas. The advantage of the weakly supervised approach is its ability to learn from a smaller dataset, requiring only image-level labels in our case. By implementing the proposed pipeline, specifically using the Score-CAM technique. popup.nrat_date 2025-05-09 Close