Topic: whole-slide-imaging Goto Github
Some thing interesting about whole-slide-imaging
Some thing interesting about whole-slide-imaging
whole-slide-imaging,Cancer metastasis detection with neural conditional random field (NCRF)
Organization: baidu-research
whole-slide-imaging,DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
User: binli123
whole-slide-imaging,A .NET microscopy imaging application based on Bio library. Supports various microscopes by using imported libraries & GUI automation. Supports XInput game controllers to move stage, take images, run ImageJ macros on images or Bio C# scripts.
User: biologytools
Home Page: https://discord.com/channels/1075990609707417600/1075990610160394302
whole-slide-imaging,A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
User: btcrabb
whole-slide-imaging,GUI wrapped around anonymise label for SVS and NDPI whole slide images
User: c-arthurs
whole-slide-imaging,An application for exporting and analysing tissue array whole slide image files
User: c-arthurs
Home Page: https://quarray.readthedocs.io
whole-slide-imaging,Digital pathology image viewer with support for human/machine generated annotations and markups.
Organization: camicroscope
whole-slide-imaging,Read and write TIFF files
User: cgohlke
Home Page: https://pypi.org/project/tifffile
whole-slide-imaging,Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
User: chongqingnosubway
whole-slide-imaging,Program for the analysis and visualization of whole-slide images in digital pathology
Organization: computationalpathologygroup
Home Page: https://computationalpathologygroup.github.io/ASAP/
whole-slide-imaging,[ECCV 2024] Official Implementation of 《WSI-VQA: Interpreting Whole Slide Image by Generative Question Answering》
User: cpystan
whole-slide-imaging,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.
User: cradleai
whole-slide-imaging,a browser-based DICOM viewer
Organization: cylab-tw
whole-slide-imaging,Cytomine-Core is the main web server implementing the Cytomine API
Organization: cytomine
Home Page: http://doc.cytomine.org
whole-slide-imaging,An open source online platform for collaborative image labeling of almost everything
Organization: deepmicroscopy
Home Page: https://prl.tf.fau.de/person/marzahl/
whole-slide-imaging,A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Organization: diagnijmegen
Home Page: https://diagnijmegen.github.io/pathology-whole-slide-data/
whole-slide-imaging,A pyqt5 widget for viewing whole-slide images with Openslide
User: dimathe47
whole-slide-imaging,Extension to QuPath application adding support for reading from Google Cloud Healthcare API.
Organization: googlecloudplatform
whole-slide-imaging,Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
User: jamesdolezal
whole-slide-imaging,:microscope: Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
User: jgamper
whole-slide-imaging,[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
User: liupei101
whole-slide-imaging,GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images
User: liupei101
Home Page: https://www.sciencedirect.com/science/article/pii/S0169260723001001
whole-slide-imaging,This repo provides the pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
User: liupei101
whole-slide-imaging,Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
User: lucasrla
whole-slide-imaging,Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
User: lucasrla
whole-slide-imaging,Handling whole-slide images with region-level annotations.
User: luisvalesilva
whole-slide-imaging,Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Organization: mahmoodlab
Home Page: http://clam.mahmoodlab.org
whole-slide-imaging,Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
Organization: mahmoodlab
Home Page: http://crane.mahmoodlab.org
whole-slide-imaging,Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
User: marvinler
whole-slide-imaging,CytoBrowser, a JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images.
Organization: mida-group
whole-slide-imaging,HistoJS: Web-Based Analytical Tool for Multiplexed Images. Limited Github Online Demo 👇
User: mmasoud1
Home Page: https://mmasoud1.github.io/HistoJS/
whole-slide-imaging,Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
Organization: nadeemlab
Home Page: https://deepliif.org
whole-slide-imaging,Bio-Formats is a Java library for reading and writing data in life sciences image file formats. It is developed by the Open Microscopy Environment. Bio-Formats is released under the GNU General Public License (GPL); commercial licenses are available from Glencoe Software.
Organization: ome
Home Page: https://www.openmicroscopy.org/bio-formats
whole-slide-imaging,C library for reading virtual slide images
Organization: openslide
Home Page: https://openslide.org/
whole-slide-imaging,Patoloji Atlası
Organization: patolojiatlasi
Home Page: https://www.patolojiatlasi.com/
whole-slide-imaging,Digital Pathology Whole Slide Image Analysis Toolbox
User: pingjunchen
Home Page: https://pyslide.readthedocs.io
whole-slide-imaging,Whole Slide Digital Pathology Image Tissue Localization
User: pingjunchen
Home Page: https://tissueloc.readthedocs.io
whole-slide-imaging,QuPath - Bioimage analysis & digital pathology
Organization: qupath
Home Page: https://qupath.github.io
whole-slide-imaging,Segmenting WSIs using Deep Convolutional Neural Networks
User: sacmehta
Home Page: https://sacmehta.github.io/WSISegmentation/
whole-slide-imaging,2D Vector-Quantized Auto-Encoder for compression of Whole-Slide Images in Histopathology
Organization: sara-nl
whole-slide-imaging,🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
Organization: sbu-bmi
Home Page: https://wsinfer.readthedocs.io
whole-slide-imaging,Powerful, open-source AI tools for digital pathology.
Organization: slideflow
Home Page: https://slideflow.dev
whole-slide-imaging,Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks
User: tand826
whole-slide-imaging,Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Organization: tissueimageanalytics
Home Page: https://warwick.ac.uk/tia
whole-slide-imaging,WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
Organization: uw-loci
whole-slide-imaging,This is a viewer app that provides using to zoom and pan tools Deep Zoom Image (dzi) or Whole Slide Image (wsi) using Electron JS and OpenSeaDragon .
User: uzunb
whole-slide-imaging,Python library for processing whole slide images (WSIs) in sdpc format
User: wonderlandxd
whole-slide-imaging,Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
User: yashsharma
whole-slide-imaging,A Fast Whole-slide image Annotation Tool (FWAT) for conducting painless studies requiring annotations on whole-slide images.
User: ysbecca
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