mlsanityData to 14 Oct 2026

UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading

arXiv 2101.09991 ↗First posted 25 Jan 2021eess.IV cs.CV cs.LGcited by 33

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Abstract (arXiv)

Histopathological characterization of colorectal polyps allows to tailor patients' management and follow up with the ultimate aim of avoiding or promptly detecting an invasive carcinoma. Colorectal polyps characterization relies on the histological analysis of tissue samples to determine the polyps malignancy and dysplasia grade. Deep neural networks achieve outstanding accuracy in medical patterns recognition, however they require large sets of annotated training images. We introduce UniToPatho, an annotated dataset of 9536 hematoxylin and eosin (H&E) stained patches extracted from 292 whole-slide images, meant for training deep neural networks for colorectal polyps classification and adenomas grading. We present our dataset and provide insights on how to tackle the problem of automatic colorectal polyps characterization.

Key facts. Cited by 33 papers in the map (data through 14 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 25 Jan 2021.

Builds on

4 of 22 references.

References · 4

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognitioncited by 720
  3. 2017Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Imagescited by 26
  4. 2018Evolutionary Neural Architecture Search for Image Restorationcited by 12

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 1; 2022: 3; 2023: 3; 2024: 11; 2025: 11; 2026: 4.

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  1. 2024HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysiscited by 107
  2. 2023A General-Purpose Self-Supervised Model for Computational Pathologycited by 42
  3. 2025Evidence-based diagnostic reasoning with multi-agent copilot for human pathologycited by 27
  4. 2025A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Modelcited by 12
  5. 2023Cross-scale Multi-instance Learning for Pathological Image Diagnosiscited by 11
  6. 2024A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Modelscited by 9
  7. 2025Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representationcited by 6
  8. 2025Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddingscited by 6
  9. 2022H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regressioncited by 5
  10. 2024Histopathological Image Classification with Cell Morphology Aware Deep Neural Networkscited by 5
  11. 2024NCT-CRC-HE: Not All Histopathological Datasets Are Equally Usefulcited by 5
  12. 2024Prompt-Guided Foundation Model Tuning for Pathology Image Classificationcited by 4
21 more
  1. 2024CAMP: Continuous and Adaptive Learning Model in Pathologycited by 4
  2. 2024Dataset Distillation for Histopathology Image Classificationcited by 4
  3. 2024Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sectionscited by 4
  4. 2025Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathologycited by 4
  5. 2025Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoningcited by 4
  6. 2023AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Imagecited by 3
  7. 2024Multi-target stain normalization for histology slidescited by 3
  8. 2024Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpointcited by 2
  9. 2021Dysplasia grading of colorectal polyps through CNN analysis of WSIcited by 1
  10. 2025Unifying Multiple Foundation Models for Advanced Computational Pathologycited by 1
  11. 2025Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathologycited by 1
  12. 2025Whole Slide Concepts: A Supervised Foundation Model For Pathological Imagescited by 1
  13. 2025MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Modelscited by 1
  14. 2026A Generative Foundation Model for Multimodal Histopathologycited by 1
  15. 2022Lung nodules segmentation from CT with DeepHealth toolkitcited by 0
  16. 2022UniToBrain dataset: a Brain Perfusion Datasetcited by 0
  17. 2024Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classificationcited by 0
  18. 2025Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processingcited by 0
  19. 2026Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Networkcited by 0
  20. 2026XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomascited by 0
  21. 2026SlideCheck: Guiding Self-Supervised Pretraining of Pathology Foundation Models via Dataset Distributionscited by 0