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Automated Detection of Mitosis in Embryonic Tissues

Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007
Characterization of mitosis is important for understanding the mechanisms of development in early stage embryos. In studies of cancer, another situation in which mitosis is of interest, the tissue is stained with contrast agents before mitosis characterization; an intervention that could lead to atypical development in live embryos.
Parthipan Siva   +2 more
openaire   +1 more source

U-Net based mitosis detection from H&E-stained images with the semi-automatic annotation using pHH3 IHC-stained images

Medical Imaging, 2022
We propose a new U-Net-based method for mitosis detection and a semi-automatic image processing algorithm to generate datasets from the H&E- and pHH3- stained tissue images.
Jiaming Li   +4 more
semanticscholar   +1 more source

Spatio-Temporal Mitosis Detection in Time-Lapse Phase-Contrast Microscopy Image Sequences: A Benchmark

IEEE Transactions on Medical Imaging, 2021
In this paper, we report the results of the first international contest on mitosis detection in phase-contrast microscopy image sequences (https://www.iti-tju.org/mitosisdetection), which was held at the workshop of computer vision for microscopy image ...
Yuting Su   +4 more
semanticscholar   +1 more source

Cell Image Classification with Polygon-Guided Extraction for Glioma Mitosis Detection

IEEE International Symposium on Biomedical Imaging
Accurate detection of mitotic figures in glioma tissue samples is crucial for assessing tumor proliferation rates and planning appropriate treatment strategies.
Yosuke Yamagishi, Shohei Hanaoka
semanticscholar   +1 more source

Deep Learning-Based Mitosis Detection in Breast Cancer Histopathology Images: A Mapping Study

International Conference on Soft Computing and Software Engineering
Mitosis detection refers to the process of identifying and locating mitotic cells within histological or microscopic images. Mitosis, a crucial stage in the cell cycle, involves cell division, and detecting mitotic figures is particularly important in ...
Premisha Premananthan   +1 more
semanticscholar   +1 more source

CTMC: Cell Tracking with Mitosis Detection Dataset Challenge

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
While significant developments have been made in cell tracking algorithms, current datasets are still limited in size and diversity, especially for data-hungry generalized deep learning models. We introduce a new larger and more diverse cell tracking dataset in terms of number of sequences, length of sequences, and cell lines, accompanied with a public
Samreen Anjum, Danna Gurari
openaire   +1 more source

Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images

Medical Image Anal.
Due to the intra-class diversity of mitotic cells and the morphological overlap with similarly looking imposters, automatic mitosis detection in histopathology slides is still a challenging task.
Qiling Tang, Yu Cai
semanticscholar   +1 more source

Survey of Mitosis Detection Techniques in Breast Cancer

2018 3rd International Conference on Inventive Computation Technologies (ICICT), 2018
Breast Cancer is one of the most occurring cancer in women's among different types of cancer. Detection of mitosis is a challenging work in breast histopathology images and in mammography. Due to different stages of mitosis, non uniform stain illumination, size and shape variation of cells detection of mitosis is difficult.
Vinayak N. Malavade   +2 more
openaire   +1 more source

Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms

2023
Cancer diagnosis is of major importance in the field of human medical pathology, wherein a cell division process known as mitosis constitutes a relevant biological pattern analyzed by professional experts, who seek for such occurrence in presence and number through visual observation of microscopic imagery.
Dibet Garcia Gonzalez   +10 more
openaire   +2 more sources

Efficient mitosis detection: leveraging pre-trained faster R-CNN and cell-level classification

Biomedical engineering and physics express
The assessment of mitotic activity is an integral part of the comprehensive evaluation of breast cancer pathology. Understanding the level of tumor dissemination is essential for assessing the severity of the malignancy and guiding appropriate treatment ...
Abdul R Shihabuddin, S. Beevi K
semanticscholar   +1 more source

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