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Mitosis detection on histopathological images using statistical detection algorithms
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015In this work, the utility and accuracy of the statistical detection algorithms for the detection of mitosis on histopathological images have been investigated. In the first stage, the subset images involving mitotic cells from the original images have been created. The occurance based texture filters have been applied to each subset image.
Mustafa Ustuner, Gokhan Bilgin
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Mask-Driven Mitosis Detection In Histopathology Images
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019Mitotic detection and counting are the primary diagnostic factors used for cancer detection and grading. In this paper, we introduce a method of automatically obtaining masks for the cells and using the generated masks for mitotic detection. In the first stage of processing, we use the Mask R-CNN network to obtain the masks for the cells and also ...
Veena Dodballapur +5 more
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Automated mitosis detection with deep regression networks
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016Mitosis counting is one of the strongest prognostic markers for invasive breast cancer diagnosis. Clinical visual examination on histology slides by pathologists is tedious, error-prone and time-consuming. Furthermore, with the advent of whole slide imaging for high-throughput digitization, a large quantity of histology images need to be analyzed ...
Hao Chen, Xi Wang, Pheng Ann Heng
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Deep Fully Convolutional Networks for Mitosis Detection
Proceedings of the 2019 4th International Conference on Robotics, Control and Automation, 2019Image recognition plays a vital role in the medical image analysis field, which depends on different medical image analysis algorithms with input data, features, parameters, and type of learning. Three crucial morphological features on Hematoxylin and Eosin 1991 (HE our model is ResNet18 pre-trained to classify with localized based on the Tensorflow ...
Mohammed Abdulkareem +3 more
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Automated Detection of Mitosis in Embryonic Tissues
Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007Characterization 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
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Domain Adaptive Box-Supervised Instance Segmentation Network for Mitosis Detection
IEEE Transactions on Medical Imaging, 2022The number of mitotic cells present in histopathological slides is an important predictor of tumor proliferation in the diagnosis of breast cancer. However, the current approaches can hardly perform precise pixel-level prediction for mitosis datasets with only weak labels (i.e., only provide the centroid location of mitotic cells), and take no account ...
Yonghui Li +4 more
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CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020While 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
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Survey of Mitosis Detection Techniques in Breast Cancer
2018 3rd International Conference on Inventive Computation Technologies (ICICT), 2018Breast 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
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Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms
2023Cancer 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
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Symmetry-based mitosis detection in time-lapse microscopy
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015Providing a general framework for mitosis detection is challenging. The variability of the visual traits and temporal features which classify the event of cell division is huge due to the numerous cell types, perturbations, imaging techniques and protocols used in microscopy imaging analysis studies.
Topaz Gilad +3 more
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