Modern convolutional object detectors for nuclei detection on pleural effusion cytology images
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7461-3
Abstract: Nuclei detection is a crucial step in the cell-based analysis of a wide range of pathological images. It is also the basis of many automated methods such as cell counting, segmentation, and tracking. Nevertheless, it… read more here.
Keywords: detection; object detectors; pathology; modern convolutional ... See more keywords
EndoNuke: Nuclei Detection Dataset for Estrogen and Progesterone Stained IHC Endometrium Scans
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DOI: 10.3390/data7060075
Abstract: We present EndoNuke, an open dataset consisting of tiles from endometrium immunohistochemistry slides with the nuclei annotated as keypoints. Several experts with various experience have annotated the dataset. Apart from gathering the data and creating… read more here.
Keywords: nuclei detection; detection dataset; dataset estrogen; endonuke nuclei ... See more keywords
Local Integral Regression Network for Cell Nuclei Detection
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DOI: 10.3390/e23101336
Abstract: Nuclei detection is a fundamental task in the field of histopathology image analysis and remains challenging due to cellular heterogeneity. Recent studies explore convolutional neural networks to either isolate them with sophisticated boundaries (segmentation-based methods)… read more here.
Keywords: integral regression; detection; regression network; nuclei detection ... See more keywords