Mitosis Detection

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Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (47 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.

• Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN
  27 Apr 2020 3 repositories listed
  In this paper, we propose a novel mitosis detection method that can detect multiple mitosis events in a candidate sequence and mitigate the human annotation gap via estimating a spatiotemporal likelihood map by 3DCNN.
• Quantifying the Scanner-Induced Domain Gap in Mitosis Detection
  30 Mar 2021 2 repositories listed
  Hypothesizing that the scanner device plays a decisive role in this effect, we evaluated the susceptibility of a standard mitosis detection approach to the domain shift introduced by using a different whole slide…
• Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
  12 Jul 2023 1 repository listed
  And the feature diversity is preserved by inter- and intra- class feature diversity-preserved module (InCDP).
• Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping
  9 Jul 2023 1 repository listed
  First, we generate an image pair not containing mitosis events by frame-order flipping.
• A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch
  18 Jan 2023 1 repository listed
  In the first stage, a detection network named M_det is proposed to detect as many mitoses as possible.
• Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
  15 Sep 2022 1 repository listed
  The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade.
• ReCasNet: Improving consistency within the two-stage mitosis detection framework
  28 Feb 2022 1 repository listed
  Existing approaches utilize a two-stage pipeline: the detection stage for identifying the locations of potential mitotic cells and the classification stage for refining prediction confidences.
• Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images
  1 Sep 2021 1 repository listed
  Two baseline mitosis detection models based on U-Net and RetinaNet were investigated in combination with the aforementioned domain adaptation methods.
• Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
  20 Feb 2020 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  This study is focused on histopathology image analysis applications for which it is desirable that the arbitrary global orientation information of the imaged tissues is not captured by the machine learning models.
• Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
  12 Mar 2018 1 repository listed
  We have attempted to replicate the main method in 'Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs' published in JAMA 2016; 316(22).
• SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images
  7 Feb 2018 1 repository listed
  It provides single-click annotations as well as a blind mode for multi-annotations, where the expert is directly shown the microscopy image containing the cells that he has not yet rated.
• A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology
  21 Dec 2016 1 repository listed
  We present a unified framework to predict tumor proliferation scores from breast histopathology whole slide images.

Syntology lines on 1 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.