Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy

By Xiaodong Yang, Houqiang Li, Xiaobo Zhou. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2006

425 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biophysics, Media Technology

View Paper: https://www.semanticscholar.org/paper/1b979ed50b3a7c68c79726d7c22e078c579501f3

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Citations in the corpus

Object‐Oriented Segmentation of Cell Nuclei in Fluorescence Microscopy Images (2018, background): “morphological operations (e.g., erosion) on this mask (5).”
Segmentation of Clustered Nuclei With Shape Markers and Marking Function (2009, methodology): “To demonstrate the efficacy of cluster identification, we compared our method to the classical watershed algorithm [15], marker-controlled watershed using condition erosion [20], and optimal boundary finding by dynamic programming as proposed by Baggett et al.”
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images (2018, methodology): “For example, [10] used thresholding to obtain the markers and the energy landscape as input for watershed to extract the nuclear instances.”
CellViT: Vision Transformers for Precise Cell Segmentation and Classification (2023, methodology): “The primary challenge is separating overlapping nuclei, and di ff erent techniques have been devised to do this [21, 22, 23, 24, 25, 26, 27, 28].”
A Multi-Organ Nucleus Segmentation Challenge (2020, methodology): “Segmented nuclei instances are shown in different colors in rows 2-5. some common segmentation algorithms such as Otsu thresh-olding [5], marker controlled watershed segmentation [6]–[8] or open-source packages like Fiji [9] and Cell Proﬁler [10].”
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review (2016, methodology): “[35] have presented a conditional erosion method to detect nucleus markers in fluorescence microscopy images.”
Tracking in cell and developmental biology. (2009, methodology): “Nevertheless, by combination with carefully designed pre-and postprocessing strategies, such as marking and model-based segment merging, the method has been successfully applied to cell segmentation in microscopy [32] [33] [34] [35].”
Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy (2010, methodology): “One of the possible ways to correct this is to use, e.g., marker-controlled watersheds [ 25 ].”