Differentiable optimization layers enhance GNN-based mitosis detection [PDF]
Scientific Reports, 2023 Automatic mitosis detection from video is an essential step in analyzing proliferative behaviour of cells. In existing studies, a conventional object detector such as Unet is combined with a link prediction algorithm to find correspondences between ...
Haishan Zhang +2 more
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Breast cancer survival prediction using an automated mitosis detection pipeline [PDF]
The Journal of Pathology: Clinical ResearchMitotic count (MC) is the most common measure to assess tumor proliferation in breast cancer patients and is highly predictive of patient outcomes. It is, however, subject to inter‐ and intraobserver variation and reproducibility challenges that may ...
Nikolas Stathonikos +6 more
doaj +7 more sources
Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms. [PDF]
PLoS ONEIdentifying mitosis is crucial for cancer diagnosis, but accurate detection remains difficult because of class imbalance and complex morphological variations in histopathological images.
Afnan M Alhassan, Nouf I Altmami
doaj +4 more sources
Automated mitosis detection in stained histopathological images using Faster R-CNN and stain techniques [PDF]
Journal of Integrative BioinformaticsAccurate mitosis detection is essential for cancer diagnosis and treatment. Traditional manual counting by pathologists is time-consuming and may cause errors.
García-Salmerón Jesús +3 more
doaj +3 more sources
Toward interpretable and generalized mitosis detection in digital pathology using deep learning [PDF]
Digital HealthObjective The mitotic activity index is an important prognostic factor in the diagnosis of cancer. The task of mitosis detection is difficult as the nuclei are microscopic in size and partially labeled, and there are many more non-mitotic nuclei compared
Hasan Farooq +5 more
doaj +3 more sources
A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images [PDF]
Scientific Reports, 2021 The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based detection of mitotic nuclei is a significant overhead and necessitates automation.
Anabia Sohail +4 more
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Mitosis detection, fast and slow: Robust and efficient detection of mitotic figures [PDF]
Medical Image Analysis, 2022 Counting of mitotic figures is a fundamental step in grading and prognostication of several cancers. However, manual mitosis counting is tedious and time-consuming.
M. Jahanifar +6 more
semanticscholar +4 more sources
Keeping Pathologists in the Loop and an Adaptive F1-Score Threshold Method for Mitosis Detection in Canine Perivascular Wall Tumours. [PDF]
Cancers (Basel)Simple Summary Performing a mitosis count (MC) is essential in grading canine Soft Tissue Sarcoma (cSTS) and canine Perivascular Wall Tumours (cPWTs), although it is subject to inter- and intra-observer variability.
Rai T +8 more
europepmc +2 more sources
Evaluating AI-Based Mitosis Detection for Breast Carcinoma in Digital Pathology: A Clinical Study on Routine Practice Integration. [PDF]
Diagnostics (Basel)Background/Objectives: An accurate assessment of mitotic activity is crucial in the histopathological diagnosis of invasive breast carcinoma. However, this task is time-consuming and labor-intensive, and suffers from high variability between pathologists.
Simmat C +9 more
europepmc +2 more sources
A Two-Phase Mitosis Detection Approach Based on U-Shaped Network. [PDF]
Biomed Res Int, 2021 This paper proposes a deep learning‐based method for mitosis detection in breast histopathology images. A main problem in mitosis detection is that most of the datasets only have weak labels, i.e., only the coordinates indicating the center of the mitosis region.
Lu W.
europepmc +4 more sources