mlsanityData to 7 Oct 2026

Multi-Scale Representation of Follicular Lymphoma Pathology Images in a Single Hyperbolic Space

arXiv 2506.18523 ↗First posted 23 Jun 2025cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

We propose a method for representing malignant lymphoma pathology images, from high-resolution cell nuclei to low-resolution tissue images, within a single hyperbolic space using self-supervised learning. To capture morphological changes that occur across scales during disease progression, our approach embeds tissue and corresponding nucleus images close to each other based on inclusion relationships. Using the Poincar'e ball as the feature space enables effective encoding of this hierarchical structure. The learned representations capture both disease state and cell type variations.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 18 of its 25 references that are in the map. First posted on arXiv 23 Jun 2025.

Builds on

18 of 25 references.

References · 18

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2020Unsupervised Learning of Visual Features by Contrasting Cluster Assignmentscited by 2,845
  4. 2018Attention-based Deep Multiple Instance Learningcited by 1,077
  5. 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 674
  6. 2018Hyperbolic Neural Networkscited by 393
  7. 2018HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Imagescited by 387
  8. 2022Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learningcited by 357
  9. 2022Masked Siamese Networks for Label-Efficient Learningcited by 301
  10. 2018Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometrycited by 261
  11. 2018Riemannian Adaptive Optimization Methodscited by 187
  12. 2018Poincar'e GloVe: Hyperbolic Word Embeddingscited by 155
6 more
  1. 2021Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samplescited by 114
  2. 2022Hyperbolic Contrastive Learning for Visual Representations beyond Objectscited by 58
  3. 2021Hyperbolic Busemann Learning with Ideal Prototypescited by 40
  4. 2022The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generationcited by 22
  5. 2023Hyperbolic Representation Learning: Revisiting and Advancingcited by 21
  6. 2023HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypescited by 5

Built on by

Not cited yet.