TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images
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Updated
Apr 11, 2024 - Jupyter Notebook
TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images
Scripts used for the "Glycophorin C in carotid atherosclerotic plaque reflects intraplaque hemorrhage and pre-procedural neurological symptoms" paper.
CLI tool to run specimen-level inference on whole slide images
Implementation of state of the art algorithms for uneven illomination correction in whole slide imaging
Viewer for multifocal-plane virtual microscope
Displays list of virtual microscope slides that can be displayed by the Viewer
Pathology Atlas (English version of Patoloji Atlası)
Platform for identifying metaphase spreads in a population of cells from whole slide images using Computer Vision techniques
Awesome List of Digital and Computational Pathology Resources
Classification of whole-slide images based on tumor infiltrating lymphocyte grades using image-level labels
A pyqt5 GUI for CBIR in whole-slide images with Openslide
Implementation of HistoTransfer published in IEEE-BHI 2021.
Python-based pipeline for tiles generation and pre-processing from digitized histopathological images.
Convert GeoJSON of polygons to pyramical TIF images
A fully automated approach for separating foreground (tissue) and background in bright-field microscopic whole-slide images of (immuno)histologically stained samples.
Supplementary information associated with Besson et al. (2019) ECDP 2019
Whole Slide Image Segmentation
A pyqt5 widget for viewing collection of whole-slide images with Openslide
Metadata files for the idr0042 submission
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