Segmentation of Dense 2D Bacilli Populations. Abstract: Bacteria outnumber all other known organisms by far so there is considerable interest in characterizing ...
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Here, we present a system capable of identifying rod-like bacteria (bacilli) correctly in high resolution phase contrast images. We use a probabilistic model ...
Segmentation of Dense 2D Bacilli Populations. Pascal Vallotton. CSIRO, Division of Mathematics, Informatics, and. Statistics. Sydney, Australia pascal.vallotton ...
Segmentation of Dense 2D Bacilli Populations ; Morphological Image Analysis. Soille P. ; Segmentation and tracking individual Pseudomonas aeruginosa bacteria in ...
Here, we developed MiSiC, a general deep-learning-based 2D segmentation method that automatically segments single bacteria in complex images of interacting ...
Dec 18, 2022 · BCM3D 2.0: accurate segmentation of single bacterial cells in dense biofilms using computationally generated intermediate image representations.
May 20, 2024 · Here, novel experimental and image analysis techniques for high-fidelity single-cell segmentation of bacterial colonies are developed.
Missing: 2D | Show results with:2D
Nov 16, 2023 · BCM3D 2.0: accurate segmentation of single bacterial cells in dense biofilms using computationally generated intermediate image representations.
Jun 7, 2022 · The fully automatic TB bacilli segmentation method is tested on 25 positive tissue slides. The test result shows that the proposed method yields ...
Automated detection and segmentation of B. anthracis bacteria offers the same level of accuracy as the human diagnostic specialist and in some cases outperforms ...