abmil-2018
01Skill Claude CodeCodex
The origin paper for attention-based MIL aggregation. Cite as the foundational reference whenever attention-MIL appears in a pathology paper.
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3Stars on the repository
59Mods indexed here, across every type
3mo agoLast push, which is what freshness is scored on
noneNo LICENSE: all rights reserved, so bodies are not copied
Skill Claude CodeCodex
Top-level dispatcher for adding any article to the knowledge base. Classifies the article, then hands off to the type-specific extractor.
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bahadir-2024
03Skill Claude CodeCodex
Broad orientation review of deep learning in histopathology (206 refs). Cite as a single background reference for any thesis intro, grant background, or related-work section.
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Skill Claude CodeCodex
The clinical-grade scale precedent for weakly-supervised MIL in pathology. Cite when arguing that slide-level labels suffice for clinical-grade accuracy.
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cellvit-2024
05Skill Claude CodeCodex
The standard reference for modern ViT-based nuclei segmentation + classification. Cite whenever SAM/DINOv2-pretrained ViT encoders meet HoVer-Net-style decoders.
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chief-2024
06Skill Claude CodeCodex
Clinical-grade-validated pathology foundation model. 19 cohorts, 32 cancer types, 60k WSIs, 24 hospitals. Cite for cross-cohort generalisation and clinical breadth.
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clam-2021
07Skill Claude CodeCodex
The standard reference for modern weakly-supervised MIL in pathology. Cite whenever a pipeline uses the mahmoodlab/CLAM toolkit or CLAM aggregator.
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Skill Claude CodeCodex
Extract clinical-focus fields from an article that primarily defines clinical pathology / diagnostic criteria / biomarkers / cohort design.
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clip-2021
09Skill Claude CodeCodex
Architectural foundation of every modern pathology vision-language model. Cite when introducing image-text contrastive learning in any pathology context.
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conch-2024
10Skill Claude CodeCodex
Modern default pathology vision-language foundation model. ViT-B/16 + text Transformer, CoCa-style dual objective on textbook/paper image-caption pairs. Successor to PLIP.
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Skill Claude CodeCodex
The pre-UNI open-source pathology SSL reference. Cite whenever a pipeline uses CTransPath features or when documenting the evolution of pathology PFMs.
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dsmil-2021
12Skill Claude CodeCodex
Dual-stream MIL aggregator with SSL pretraining. Standard sibling baseline alongside ABMIL / CLAM / TransMIL on Camelyon16-type WSI benchmarks.
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dt-mil-2021
13Skill Claude CodeCodex
Sparse deformable-attention MIL aggregator. DETR-style sparse keys instead of full self-attention. Sibling to TransMIL in the Transformer-MIL family.
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Skill Claude CodeCodex
Pseudo-bag construction + double-tier feature distillation MIL. Particularly strong in low-slide-count regimes. Standard sibling reference to ABMIL / CLAM / TransMIL / DSMIL.
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Skill Claude CodeCodex
First published slide-level pathology foundation model. Cite when discussing slide-level pretraining or two-stage patch-then-slide PFM recipes.
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Skill Claude CodeCodex
The canonical reference for joint nuclei instance segmentation + classification on H&E. Cite whenever HV-decoder or three-branch nuclei architectures appear.
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Skill Claude CodeCodex
Benchmarks 4 SSL recipes on pathology data and releases the Lunit-DINO ViT-S/16 checkpoint (TCGA + TULIP). Established DINO as the canonical pretraining recipe for pathology PFMs.
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Skill Claude CodeCodex
First widely-cited multistain slide-level pathology PFM. Cross-stain contrastive pretraining (H&E + IHC + special stains) yields stain-invariant slide embeddings.
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mcat-2021
19Skill Claude CodeCodex
Cross-modal co-attention Transformer fusion for histology-genomics survival prediction. Predecessor of PORPOISE in Mahmood Lab's multimodal pathology line.
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mi-zero-2023
20Skill Claude CodeCodex
The canonical reference for slide-level zero-shot pathology VL via top-k aggregation. Cite when slide-level zero-shot WSI classification is the topic.
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Skill Claude CodeCodex
First conversational pathology copilot. CONCH visual encoder + Llama-2 13B + 456k pathology Q&A instruction-tuning. Cite when discussing instruction-tuned pathology MLLMs.
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phikon-2023
22Skill Claude CodeCodex
Owkin's iBOT-pretrained pathology PFM (ViT-B on 6k TCGA WSIs). Open-weights pre-UNI baseline. iBOT recipe = DINO + masked image modelling.
not rated 3 3mo ago A 0 tokens
plip-2023
23Skill Claude CodeCodex
The first widely-cited pathology vision-language foundation model paper. Releases the OpenPath corpus + open weights. Cite as the canonical pathology VL reference.
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Skill Claude CodeCodex
Most-cited pre-PFM-era multimodal pathology AI paper. Pan-cancer histology-genomics survival framework: CLAM-style MIL + RNA-seq/mutation/CNV fusion + Cox head across 14 TCGA cancers.
not rated 3 3mo ago A 0 tokens
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