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eess.IV2026
Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions
Yangping Li, Thomas Pinetz, Michael Hölzel +2
In pathology, the spatial distribution and proportions of tissue types are key indicators of disease progression, and are more readily available than fine-grained annotations. Howe…
eess.IV2024
Efficient MedSAMs: Segment Anything in Medical Images on Laptop
Jun Ma, Feifei Li, Sumin Kim +79
Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive co…