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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Mitosis detection using generic features and an ensemble of cascade adaboosts
Journal of Pathology Informatics, 2013 Context: Mitosis count is one of the factors that pathologists use to assess the risk of metastasis and survival of the patients, which are affected by the breast cancer. Aims: We investigate an application of a set of generic features and an ensemble of
F Boray Tek
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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
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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
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Recent Advances in Automated Mitosis Detection in Digital Pathology: A PRISMA-Guided Systematic Review with Evaluation-Regime Stratification (2018–2025) [PDF]
BiomedicinesBackground/Objectives: Recent advances in automated mitosis detection in H&E histopathology have expanded AI applications in digital pathology for tumor grading and proliferation assessment.
Mohamed Albahri +5 more
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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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IEEE Access, 2020 Detection of mitotic tumor cells per tissue area is one of the critical markers of breast cancer prognosis. The aim of this paper is to develop a method for the automatic detection of mitotic figures from breast cancer histological slides using a ...
Meriem Sebai +2 more
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A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis [PDF]
Scientific DataMitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus ...
Zsanett Zsofia Ivan +14 more
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Adaptive example selection for prototype based explainable mitosis detection in digital pathology [PDF]
Scientific ReportsUnderstanding the decision-making process of black-box neural networks is crucial for safe use of AI in high-stakes medical tasks such as histopathology.
Mita Banik +4 more
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Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach [PDF]
Journal of Pathology Informatics, 2013 Context: According to Nottingham grading system, mitosis count in breast cancer histopathology is one of three components required for cancer grading and prognosis. Manual counting of mitosis is tedious and subject to considerable inter- and intra-reader
Humayun Irshad +6 more
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