mlsanityData to 7 Oct 2026

SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction

arXiv 2312.12151 ↗First posted 19 Dec 2023eess.IV cs.CVcited by 4

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Abstract (arXiv)

Detecting and classifying cells in histopathology H&E stained whole-slide images is a core task in computational pathology, as it provides valuable insight into the tumor microenvironment. In this work we investigate the impact of ground truth formats on the models performance. Additionally, cell-tissue interactions are considered by providing tissue segmentation predictions as input to the cell detection model. We find that a "soft", probability-map instance segmentation ground truth leads to best model performance. Combined with cell-tissue interaction and test-time augmentation our Soft Cell-Tissue-Model (SoftCTM) achieves 0.7172 mean F1-Score on the Overlapped Cell On Tissue (OCELOT) test set, achieving the third best overall score in the OCELOT 2023 Challenge. The source code for our approach is made publicly available at https://github.com/lely475/ocelot23algo.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 16 references that are in the map. First posted on arXiv 19 Dec 2023.

Builds on

9 of 16 references.

References · 9

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2016DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFscited by 3,239
  3. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
  4. 2017Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentationscited by 614
  5. 2018HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Imagescited by 387
  6. 2020NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Imagescited by 46
  7. 2023OCELOT: Overlapped Cell on Tissue Dataset for Histopathologycited by 29
  8. 2021Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challengecited by 14
  9. 2021SRPN: similarity-based region proposal networks for nuclei and cells detection in histology imagescited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.

  1. 2025Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Imagescited by 5
  2. 2025A Multi-Stage Auto-Context Deep Learning Framework for Tissue and Nuclei Segmentation and Classification in H&E-Stained Histological Images of Advanced Melanomacited by 4
  3. 2025OCELOT 2023: Cell Detection from Cell-Tissue Interaction Challengecited by 0
  4. 2026DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detectioncited by 0