HIGHLIGHTS
- who: Kavitha Shaga Devan from the Central Facility of Electron Microscopy, Ulm University, Albert Einstein‑Allee, Ulm, Germany have published the article: Weighted average ensemble-based semantic segmentation in biological electron microscopy images, in the Journal: (JOURNAL)
- what: The authors show that the Grad-CAM method can be used to interpret and verify the prediction of the model . Encouraged by this tool, the authors aim to develop a semantic segmentation model for the multi-class segmentation of biological structures in EM images using user customized limited labeled ground truth training datasets curated by biologists. The . . .
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