A pyqt5 widget for viewing collection of whole-slide images with Openslide
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Updated
Feb 3, 2018 - Python
A pyqt5 widget for viewing collection of whole-slide images with Openslide
A pyqt5 widget for viewing whole-slide images with Openslide
A pyqt5 GUI for CBIR in whole-slide images with Openslide
A Fast Whole-slide image Annotation Tool (FWAT) for conducting painless studies requiring annotations on whole-slide images.
Segmenting WSIs using Deep Convolutional Neural Networks
Handling whole-slide images with region-level annotations.
Elm library providing encoder/decoder for automated slide analysis platform XML format (https://github.com/computationalpathologygroup/ASAP).
Platform for identifying metaphase spreads in a population of cells from whole slide images using Computer Vision techniques
This is the official repo for the Liver Kidney Stomach dataset introduced in the paper: SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification.
A pipeline to preprocess whole-slide images (WSI) towards deep learning
Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
Metadata files for the idr0042 submission
Supplementary information associated with Besson et al. (2019) ECDP 2019
Image Processing and CV on Whole Slide Images
An application for exporting and analysing tissue array whole slide image files
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
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