# OnCo record abmil (term). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)". Whole corpus: https://onco.cc/api/v1/onco.nt
@prefix schema: <https://schema.org/> .
@prefix onco: <https://onco.cc/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://onco.cc/terms/abmil/>
  a schema:DefinedTerm ;
  onco:kind "term" ;
  schema:identifier "abmil" ;
  schema:name "Attention-based multiple-instance learning (ABMIL, CLAM)"@en ;
  schema:alternateName "ABMIL"@en, "attention-based MIL"@en, "attention-based multiple instance learning"@en, "multiple-instance learning"@en, "multiple instance learning"@en, "MIL"@en, "CLAM"@en, "attention pooling"@en, "slide-level aggregation"@en, "weakly supervised slide classification"@en ;
  schema:description "Attention-based multiple-instance learning gives each tile of a slide a learned weight and sums the weighted tile vectors into one slide vector, so a slide-level label can train the model and the weights show which regions mattered."@en ;
  schema:url <https://onco.cc/terms/abmil/> ;
  schema:dateModified "2026-09-24"^^xsd:date ;
  schema:sameAs <https://en.wikipedia.org/wiki/Multiple_instance_learning> ;
  schema:citation <https://arxiv.org/abs/1802.04712>, <https://doi.org/10.1038/s41551-020-00682-w>, <https://en.wikipedia.org/wiki/Multiple_instance_learning> ;
  onco:tag "cansim-terms" ;
  onco:related <https://onco.cc/terms/cancer-ai-vocabulary/> ;
  onco:terms <https://onco.cc/terms/tile-patch-encoding/>, <https://onco.cc/terms/transformer-architecture/>, <https://onco.cc/terms/pathology-foundation-models/> .