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This algorithm is referred to as the ALSC algorithm. The proposed algorithm comprises three phases and uses parallel processing to speed up its performance. The main advantages of the proposed algorithm are determining the optimal number of clusters and producing high clustering accuracy with the identification of the number of clusters.
This repository contains the code to generate the figures in our research paper: Strobl et al (2020), Turnover modulates the need for a cost of resistance in adaptive therapy published in Cancer Research.
Computational Framework to Analyse Spatial Heterogeneity in Visum, IMC or MIBI data sets
Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves, by Justin Strait, Oksana Chkrebtii, Sebastian Kurtek
repository of code used for Harmon, Sanford et al "Multi-resolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes from Primary Tumors in Bladder Cancer"
A Machine Learning Model That Classifies Images of Breast Cell Nuclei as Benign or Malignant
Allows for qualitative and quantitative analysis of image transformations generated using FIJI BigWarp
A project on Color Channel Alignment and Image Warping done using MATLAB
Code for analysis performed in Cadwell et al., 2020 (CUSA Digital Pathology Validation Study)
Minimal impl of the paper `Adaptive Local Thresholding for Detection of Nuclei in Diversely Stained Cytology Images`
Image Compression Deep Learning Based on Digital Whole Slide Pathology Images
The identification of plant diseases especially of the olive tree remains very important. the integration of artificial intelligence can play a very important role in setting up a model for classifying images of different phytosanitary problems
this is the code repository related to the paper "Generating synthetic data in digital pathology through diffusion models: a multifaceted approach to evaluation"
List of academic institutes/companies working on computer-based digital pathology image analysis
End-to-end analysis tool for whole-slide images following Traumatic Brain Injury (Capstone I)
outdated version
Federated digital pathology: classification of Acute Myeloid Leukemia (AML) cells with a CNN.
This work is part of the course CS904 (Computational Biology, Warwick University). We classify tissues slides into eight different classes with a deep learning approach and compare the results to classification with a SVM that was trained on handcrafted features.
This is a repo to share to public community Digital Pathology (DP) web application
Evaluation Environment for Digital and Analog Pathology
Fast and memory efficient transformers based feature matching model.
Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology
This is an implementation of nuclei segmentation method for segregating clumped nuclei in DAPI in Fluorescence images.
No-Reference Focus Quality Assessment of Digital Pathology Images [IEEE TMI 2019]
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.