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Found 4 papers, 2 papers with code
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma
In digital histopathology, entire neoplasm segmentation on Whole Slide Image (WSI) of Hepatocellular Carcinoma (HCC) plays an important role, especially as a preprocessing filter to automatically exclude healthy tissue, in histological molecular correlations mining and other downstream histopathological tasks.
Fine-tune your Classifier: Finding Correlations With Temperature
Temperature is a widely used hyperparameter in various tasks involving neural networks, such as classification or metric learning, whose choice can have a direct impact on the model performance.
Learning an Adaptation Function to Assess Image Visual Similarities
As a consequence, such features are powerful to compare semantically related images but not really efficient to compare images visually similar but semantically unrelated.
Spatio-Temporal Stability Analysis in Satellite Image Times Series
Satellite Image Time Series (SITS) provide valuable information for the study of the Earth’s surface.
