Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387211783> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4387211783 endingPage "476" @default.
- W4387211783 startingPage "467" @default.
- W4387211783 abstract "Whole Slide Image (WSI) classification remains a challenge due to their extremely high resolution and the absence of fine-grained labels. Presently, WSI classification is usually regarded as a Multiple Instance Learning (MIL) problem when only slide-level labels are available. MIL methods involve a patch embedding module and a bag-level classification module, but they are prohibitively expensive to be trained in an end-to-end manner. Therefore, existing methods usually train them separately, or directly skip the training of the embedder. Such schemes hinder the patch embedder’s access to slide-level semantic labels, resulting in inconsistency within the entire MIL pipeline. To overcome this issue, we propose a novel framework called Iteratively Coupled MIL (ICMIL), which bridges the loss back-propagation process from the bag-level classifier to the patch embedder. In ICMIL, we use category information in the bag-level classifier to guide the patch-level fine-tuning of the patch feature extractor. The refined embedder then generates better instance representations for achieving a more accurate bag-level classifier. By coupling the patch embedder and bag classifier at a low cost, our proposed framework enables information exchange between the two modules, benefiting the entire MIL classification model. We tested our framework on two datasets using three different backbones, and our experimental results demonstrate consistent performance improvements over state-of-the-art MIL methods. The code is available at: https://github.com/Dootmaan/ICMIL ." @default.
- W4387211783 created "2023-10-01" @default.
- W4387211783 creator A5044216245 @default.
- W4387211783 creator A5049494334 @default.
- W4387211783 creator A5051083607 @default.
- W4387211783 creator A5057181928 @default.
- W4387211783 creator A5057452864 @default.
- W4387211783 creator A5080544783 @default.
- W4387211783 creator A5088302108 @default.
- W4387211783 creator A5090814258 @default.
- W4387211783 date "2023-01-01" @default.
- W4387211783 modified "2023-10-01" @default.
- W4387211783 title "Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification" @default.
- W4387211783 cites W2117539524 @default.
- W4387211783 cites W2194775991 @default.
- W4387211783 cites W2302302587 @default.
- W4387211783 cites W2620982237 @default.
- W4387211783 cites W2772723798 @default.
- W4387211783 cites W2891254514 @default.
- W4387211783 cites W2956228567 @default.
- W4387211783 cites W3014453037 @default.
- W4387211783 cites W3097664769 @default.
- W4387211783 cites W3135547872 @default.
- W4387211783 cites W3159302505 @default.
- W4387211783 cites W3176719058 @default.
- W4387211783 cites W3206263253 @default.
- W4387211783 cites W4213208716 @default.
- W4387211783 cites W4220993918 @default.
- W4387211783 cites W4312468136 @default.
- W4387211783 cites W4312765357 @default.
- W4387211783 cites W4386076671 @default.
- W4387211783 doi "https://doi.org/10.1007/978-3-031-43987-2_45" @default.
- W4387211783 hasPublicationYear "2023" @default.
- W4387211783 type Work @default.
- W4387211783 citedByCount "0" @default.
- W4387211783 crossrefType "book-chapter" @default.
- W4387211783 hasAuthorship W4387211783A5044216245 @default.
- W4387211783 hasAuthorship W4387211783A5049494334 @default.
- W4387211783 hasAuthorship W4387211783A5051083607 @default.
- W4387211783 hasAuthorship W4387211783A5057181928 @default.
- W4387211783 hasAuthorship W4387211783A5057452864 @default.
- W4387211783 hasAuthorship W4387211783A5080544783 @default.
- W4387211783 hasAuthorship W4387211783A5088302108 @default.
- W4387211783 hasAuthorship W4387211783A5090814258 @default.
- W4387211783 hasConcept C115961682 @default.
- W4387211783 hasConcept C117978034 @default.
- W4387211783 hasConcept C119857082 @default.
- W4387211783 hasConcept C124101348 @default.
- W4387211783 hasConcept C127413603 @default.
- W4387211783 hasConcept C153180895 @default.
- W4387211783 hasConcept C154945302 @default.
- W4387211783 hasConcept C21880701 @default.
- W4387211783 hasConcept C41008148 @default.
- W4387211783 hasConcept C41608201 @default.
- W4387211783 hasConcept C75294576 @default.
- W4387211783 hasConcept C95623464 @default.
- W4387211783 hasConceptScore W4387211783C115961682 @default.
- W4387211783 hasConceptScore W4387211783C117978034 @default.
- W4387211783 hasConceptScore W4387211783C119857082 @default.
- W4387211783 hasConceptScore W4387211783C124101348 @default.
- W4387211783 hasConceptScore W4387211783C127413603 @default.
- W4387211783 hasConceptScore W4387211783C153180895 @default.
- W4387211783 hasConceptScore W4387211783C154945302 @default.
- W4387211783 hasConceptScore W4387211783C21880701 @default.
- W4387211783 hasConceptScore W4387211783C41008148 @default.
- W4387211783 hasConceptScore W4387211783C41608201 @default.
- W4387211783 hasConceptScore W4387211783C75294576 @default.
- W4387211783 hasConceptScore W4387211783C95623464 @default.
- W4387211783 hasLocation W43872117831 @default.
- W4387211783 hasOpenAccess W4387211783 @default.
- W4387211783 hasPrimaryLocation W43872117831 @default.
- W4387211783 hasRelatedWork W2162970382 @default.
- W4387211783 hasRelatedWork W2167582322 @default.
- W4387211783 hasRelatedWork W2509146328 @default.
- W4387211783 hasRelatedWork W2556319748 @default.
- W4387211783 hasRelatedWork W2563096758 @default.
- W4387211783 hasRelatedWork W2742991909 @default.
- W4387211783 hasRelatedWork W2972035100 @default.
- W4387211783 hasRelatedWork W4313342395 @default.
- W4387211783 hasRelatedWork W4386053843 @default.
- W4387211783 hasRelatedWork W3158004940 @default.
- W4387211783 isParatext "false" @default.
- W4387211783 isRetracted "false" @default.
- W4387211783 workType "book-chapter" @default.