Cell Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 60 papers with code (132 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• On Complex Valued Convolutional Neural Networks
  29 Feb 2016 5 repositories listed
  The resulting model is shown to be a restricted form of a real valued CNN with twice the parameters.
• CellViT: Vision Transformers for Precise Cell Segmentation and Classification
  27 Jun 2023 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Nuclei detection and segmentation in hematoxylin and eosin-stained (H&E) tissue images are important clinical tasks and crucial for a wide range of applications.
• Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection
  17 Jun 2022 3 repositories listed
  This method can perform well with blood cell detection in our experiments.
• Cell Detection with Star-convex Polygons
  9 Jun 2018 3 repositories listed Syntology ran 1 of 33 samples · 32 unverified · 2 pointer-only (licence)
  Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications.
• Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing
  10 Aug 2017 3 repositories listed
  In this paper, we seek a different route and propose a convolutional neural network (CNN)-based cell detection method that uses encoding of the output pixel space.
• SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction
  19 Dec 2023 2 repositories listed
  We find that a "soft", probability-map instance segmentation ground truth leads to best model performance.
• An End-to-End Multi-Task Learning Model for Image-based Table Recognition
  15 Mar 2023 2 repositories listed
  Most of the previous methods focus on a non-end-to-end approach which divides the problem into two separate sub-problems: table structure recognition; and cell-content recognition and then attempts to solve each…
• Self-supervised pseudo-colorizing of masked cells
  12 Feb 2023 2 repositories listed
  Self-supervised learning, which is strikingly referred to as the dark matter of intelligence, is gaining more attention in biomedical applications of deep learning.
• A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images
  14 Feb 2022 2 repositories listed
  Our approach is to transfer an open source machine learning method for segmentation and classification of nuclei in H&E slides trained on public data to TIL quantification without manual labeling of our data.
• Multi-Class Cell Detection Using Spatial Context Representation
  10 Oct 2021 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  In digital pathology, both detection and classification of cells are important for automatic diagnostic and prognostic tasks.
• Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
  19 Jul 2021 2 repositories listed
  We propose an unsupervised domain adaptation method for cell detection using the pseudo-cell-position heatmap, where a cell centroid becomes a peak with a Gaussian distribution in the map.
• TABBIE: Pretrained Representations of Tabular Data
  6 May 2021 2 repositories listed
  Existing work on tabular representation learning jointly models tables and associated text using self-supervised objective functions derived from pretrained language models such as BERT.
• Contour Proposal Networks for Biomedical Instance Segmentation
  7 Apr 2021 2 repositories listed
  We construct CPN models with different backbone networks, and apply them to instance segmentation of cells in datasets from different modalities.
• Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology
  26 Jun 2025 1 repository listed
  This paper proposes a style-aligned image composition (SAIC) method that composes high-fidelity and style-preserved pathological images to enhance the effectiveness and robustness of detection models.
• A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
  9 Apr 2025 1 repository listed
  Results show that centroid-based methods, particularly the Improved Fully Convolutional Regression Network (IFCRN) method, outperform segmentation-based methods in terms of both detection accuracy and computational…
• Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning
  16 Mar 2025 1 repository listed
  This framework provides a scalable, cost-effective solution for lymphocyte classification, as well as a new SOTA real-time cell sorting implementation for rapid identification of subsets using in situ deep learning on…
• TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
  8 Dec 2024 1 repository listed Syntology ran 6 of 6 samples · 0 unverified
  Accurately modeling multi-class cell topology is crucial in digital pathology, as it provides critical insights into tissue structure and pathology.
• Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking
  4 Nov 2024 1 repository listed
  Nanorobots are a promising development in targeted drug delivery and the treatment of neurological disorders, with potential for crossing the blood-brain barrier (BBB).
• TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation
  25 Sep 2024 1 repository listed
  Because of this, using a preset global threshold (e.
• Spatial Diffusion for Cell Layout Generation
  4 Sep 2024 1 repository listed
  In downstream tasks, we show that the generated cell layouts can be used to guide the generation of high-quality pathology images.
• LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection
  26 Aug 2024 1 repository listed
  Firstly, by using LAE to refine feature extraction, the model can obtain more contextual information and high-resolution details from multiscale feature maps, thereby extracting detailed features of ROI in medical…
• NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
  3 Aug 2024 1 repository listed
  However, our lightest model, NuLite-S, is 40 times smaller in terms of parameters and about 8 times smaller in terms of GFlops, while our heaviest model is 17 times smaller in terms of parameters and about 7 times…
• μ-Bench: A Vision-Language Benchmark for Microscopy Understanding
  1 Jul 2024 1 repository listed
  Recent advances in microscopy have enabled the rapid generation of terabytes of image data in cell biology and biomedical research.
• Advancing Cell Detection in Anterior Segment Optical Coherence Tomography Images
  25 Jun 2024 1 repository listed
  This framework consists of a zero-shot chamber segmentation module and a cell detection module.
• Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
  26 Apr 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  In response, we propose ACSleuth, a novel, reconstruction deviation-guided generative framework that integrates the detection, domain adaptation, and fine-grained annotating of anomalous cells into a methodologically…
• Brain tumour classification using BoF-SURF with filter-based feature selection methods
  19 Jan 2024 1 repository listed
  Currently, cancer is a global concern with a focus on reducing its incidence and advancing diagnostic techniques.
• A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking
  18 Jan 2024 1 repository listed
  In this paper, we propose a novel DL approach featuring graph-based tracking for cell segmentation and tracking in microscopy images.
• A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations
  7 Nov 2023 1 repository listed
  After training the model on the two datasets, with labels that comprise 10% cell markers, the DET improved from 0.
• FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data
  6 Nov 2023 1 repository listed
  This limitation becomes particularly relevant in scenarios where the attributes captured during data acquisition vary across different samples.
• Cell Tracking-by-detection using Elliptical Bounding Boxes
  7 Oct 2023 1 repository listed
  This work proposes a new approach based on the classical tracking-by-detection paradigm that alleviates the requirement of annotated data.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.