Topic: wsi Goto Github
Some thing interesting about wsi
Some thing interesting about wsi
wsi,🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
Organization: aican-research
wsi,Automated segmentation of H&E and Immunohistochemistry stained synovial tissue in histopathology Whole Slide Images - MIUA 2023
User: amayags
wsi,Data for discrimination of word senses using hypernyms
User: artreven
wsi,Word Sense Induction with BERT MLM
User: asafamr
wsi,Introduction to Artificial Intelligence - laboratories at the Warsaw University of Technology
User: bartlomiejkrawczyk
wsi,Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Organization: bmirds
Home Page: https://www.nature.com/articles/s41598-019-40041-7
wsi,GUI wrapped around anonymise label for SVS and NDPI whole slide images
User: c-arthurs
wsi,Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression -- BIBM 2022
User: constantjxyz
wsi,Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024)
User: cpystan
wsi,a browser-based DICOM viewer
Organization: cylab-tw
wsi,Raccoon is a NoSQL-based medical image archive for managing the DICOM images.
Organization: cylab-tw
wsi,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/
wsi,a toolbox for manipulation of digital pathology slides and annotations
User: dslituiev
wsi,Proof of concept whole slide imaging viewer on top of Google Cloud Healthcare DICOM API.
Organization: googlecloudplatform
wsi,Conversion tool/library for converting whole slide images to DICOM
Organization: googlecloudplatform
wsi,Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay
User: haranrk
wsi,Library for Digital Pathology Image Processing
Organization: histolab
Home Page: http://histolab.readthedocs.io
wsi,Implementation of Piaze Team for HEROHE challenge
User: iams4n
Home Page: https://ecdp2020.grand-challenge.org/
wsi,A plugin for TensorBoard to show WSI images. The plugin is based on Deep Zoom Image (DZI).
User: iams4n
wsi,PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).
User: jonas1312
Home Page: https://arxiv.org/abs/1905.01040
wsi,Code for "Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training"
User: katalip
wsi,Repo to store the front-end code for the Participant Whole Slide Image Viewer
Organization: kpmp
wsi,A containerized worker to convert WSI slides in SVS format to DZI
Organization: kpmp
wsi,Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
User: lucasrla
wsi,Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
User: lucasrla
wsi,Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Organization: mahmoodlab
Home Page: http://mahmoodlab.org
wsi,A pipeline to segment tissue from the background in histological images
User: manuel-munoz-aguirre
wsi,Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
User: marvinler
wsi,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
wsi,Image Processing and CV on Whole Slide Images
User: namandangi
wsi,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
wsi,Suspicious Regions-Based Whole Slide Image Analysis
User: pingjunchen
wsi,Rule-Based Thyroid Whole Slide Image Diagnosis
User: pingjunchen
wsi,Implementation of the scale-adaptive feature selection U-Net with attention gate (AG), bottleneck attention module (BAM), convolutional block attention module (CBAM), squeeze-and-exitation (SE) and selective-kernel (SK).
User: sigma10010
wsi,WSI Clustering Heatmap with ResNet Features
User: skoc
wsi,Simple prototype of converting whole slide image (WSI) to multiframe DICOM images
User: smujiang
wsi,Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks
User: tand826
wsi,Python scripts for automatic Whole-Slide Image preprocessing.
User: tcxxxx
wsi,PathoPatcher is a Python project designed for accelerating Whole Slide Image Preprocessing, employing AI-based preprocessing techniques with features like annotation handling, color normalization, and configurable parameters
Organization: tio-ikim
Home Page: https://pypi.org/project/pathopatch/
wsi,[CMPB 2024] ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classification
Organization: uestc-nnlab
Home Page: https://www.sciencedirect.com/science/article/abs/pii/S0169260724001573
wsi,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
wsi,Toolkit for WSI preprocess, such as resample & zoom, mask, roi selection ect.
User: yasohasakii
wsi,A Fast Whole-slide image Annotation Tool (FWAT) for conducting painless studies requiring annotations on whole-slide images.
User: ysbecca
wsi,TensorFlow cunstom runner to read micro images from whole slide images.
User: yujota
wsi,The code for Kernel attention transformer (KAT)
User: zhengyushan
wsi,The code for LAGE-Net
User: zhengyushan
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