4 papers
A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation
Xiaoyang Wei, Camille Kurtz, Florence Cloppet
Performance evaluation for Content-Based Image Retrieval (CBIR) remains a crucial but unsolved problem today especially in the medical domain. Various evaluation metrics have been…
Visual Question Answering on Multiple Remote Sensing Image Modalities
Hichem Boussaid, Lucrezia Tosato, Flora Weissgerber +3
The extraction of visual features is an essential step in Visual Question Answering (VQA). Building a good visual representation of the analyzed scene is indeed one of the essentia…
Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images
Lucrezia Tosato, Hichem Boussaid, Flora Weissgerber +3
Visual Question Answering for Remote Sensing (RSVQA) is a task that aims at answering natural language questions about the content of a remote sensing image. The visual features ex…
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma
Zhuxian Guo, Qitong Wang, Henning Müller +3
In digital histopathology, entire neoplasm segmentation on Whole Slide Image (WSI) of Hepatocellular Carcinoma (HCC) plays an important role, especially as a preprocessing filter t…