Research graph
References from CellPrior-net: Prior-guided nuclei detection and classification for H&E whole-slide images. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep learning model for predicting immunotherapy response in advanced non−small cell lung cancer
10.1001/jamaoncol.2024.5356 · 2025 · External reference
Ancestry-associated performance variability of open-source AI models for EGFR prediction in lung cancer
10.1001/jamaoncol.2025.6430 · 2026 · External reference
Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial
10.1016/j.annonc.2023.04.005 · 2023 · External reference
Virchow2: scaling self-supervised mixed magnification models in pathology
2024 · External reference
A visual-language foundation model for computational pathology
10.1038/s41591-024-02856-4 · 2024 · External reference
Towards a general-purpose foundation model for computational pathology
10.1038/s41591-024-02857-3 · 2024 · External reference
A whole-slide foundation model for digital pathology from real-world data
10.1038/s41586-024-07441-w · 2024 · External reference
Phikon-v2, a large and public feature extractor for biomarker prediction
2024 · External reference
Unresolved reference
External reference
Visual language pretrained multiple instance zero-shot transfer for histopathology images
2023 · External reference
Hibou: a family of foundational vision transformers for pathology
2024 · External reference
Transformer-based unsupervised contrastive learning for histopathological image classification
2022 · External reference
A clinical benchmark of public self-supervised pathology foundation models
10.1038/s41467-025-58796-1 · 2025 · External reference
Benchmarking pathology foundation models: adaptation strategies and scenarios
2025 · External reference
A multimodal generative AI copilot for human pathology
2024 · External reference
A multimodal and temporal foundation model for virtual patient representations at healthcare system scale
2026 · External reference
CellSAM: a foundation model for cell segmentation
10.1038/s41592-025-02879-w · 2025 · External reference
CellViT: vision transformers for precise cell segmentation and classification
2024 · External reference
CellViT++: energy-efficient and adaptive cell segmentation and classification using foundation models
2026 · External reference
LKCell: efficient cell nuclei instance segmentation with large convolution kernels
2024 · External reference
Cell nuclei detection and classification in whole slide images with transformers
2025 · External reference
Hover-net: simultaneous segmentation and classification of nuclei in multi-tissue histology images
2019 · External reference
One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification
2023 · External reference
PointNu-net: keypoint-assisted convolutional neural network for simultaneous multi-tissue histology nuclei segmentation and classification
10.1109/tetci.2023.3281864 · 2024 · External reference
TSFD-net: tissue specific feature distillation network for nuclei segmentation and classification
2022 · External reference
Fully automatic content-aware tiling pipeline for pathology whole slide images
2025 · External reference
PANDA-PLUS-bench: a clinical benchmark for evaluating the robustness of AI foundation models in prostate cancer diagnosis
2026 · External reference
GrandQC: a comprehensive solution to quality control problem in digital pathology
10.1038/s41467-024-54769-y · 2024 · External reference
NuLite: lightweight and fast model for nuclei instance segmentation and classification
2026 · External reference
Segment anything model (SAM) for medical image segmentation: a preliminary review
2023 · External reference
Lizard: a large-scale dataset for colonic nuclear instance segmentation and classification
2021 · External reference
NuCLS: a scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer
2022 · External reference
A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes
10.1038/s41523-024-00663-1 · 2024 · External reference
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists
10.1016/j.patter.2023.100688 · 2023 · External reference
PanNuke dataset extension, insights and baselines
2020 · External reference
A method for normalizing histology slides for quantitative analysis
2009 · External reference
UniRepLKNet: a universal perception large-kernel ConvNet for audio, video, point cloud, time-series and image recognition
2024 · External reference
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