Matches in Nanopublications for { ?s ?p <https://doi.org/10.1016/j.compbiomed.2025.111326> ?g. }
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- Average%20R2%20improved%20from%200.575%20to%200.871%20using%20a%20model%20built%20on%20H-optimus-0%20compared%20to%20a%20CNN-based%20model. obtainsSupportFrom j.compbiomed.2025.111326 assertion.
- Average%20PQ%20score%20improved%20from%200.450%20to%200.492%20using%20a%20model%20built%20on%20H-optimus-0%20compared%20to%20a%20CNN-based%20model. obtainsSupportFrom j.compbiomed.2025.111326 assertion.
- The%20distilled%20model%20maintains%20comparable%20performance%20to%20the%20teacher%20model%20while%20reducing%20parameter%20count%20by%20a%20factor%20of%2048. obtainsSupportFrom j.compbiomed.2025.111326 assertion.
- The%20PanNuke%20model%20achieves%20an%20average%20accuracy%20of%2093.57%25%20in%20classifying%20neoplastic%20and%20epithelial%20cells. obtainsSupportFrom j.compbiomed.2025.111326 assertion.
- The%20MoNuSAC%20model%20demonstrates%20an%20average%20accuracy%20of%2098.92%25%20in%20classifying%20lymphocytes%2C%20neutrophils%2C%20and%20macrophages. obtainsSupportFrom j.compbiomed.2025.111326 assertion.
- The%20distilled%20student%20model%20achieved%20an%20R2%20of%200.852%20for%20neoplastic%20cells%2C%20comparable%20to%20the%20teacher%20model%27s%20R2%20of%200.919. obtainsSupportFrom j.compbiomed.2025.111326 assertion.
- The%20distilled%20student%20model%20shows%20some%20improvement%20in%20PQ%20values%20for%20neoplastic%20and%20connective%20classes%20compared%20to%20the%20teacher%20model. obtainsSupportFrom j.compbiomed.2025.111326 assertion.
- Both%20teacher%20and%20student%20models%20produce%20nearly%20identical%20SQ%20%28segmentation%20quality%29%20values. obtainsSupportFrom j.compbiomed.2025.111326 assertion.