WsamG

WsamG's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python194k5.9k1.5k45.6k

• chartjs/Chart.js

  Simple HTML5 Charts using the <canvas> tag

  Language:JavaScript64.8k1.4k7.2k11.9k

• OHIF/Viewers

  OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

  Language:TypeScript3.3k1222.4k3.4k

• ramnes/notion-sdk-py

  The official Notion API client library, but rewritten in Python! (sync + async)

  Language:Python1.8k2689141

• AIM-Harvard/pyradiomics

  Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

  Language:Jupyter Notebook1.2k46551498

• nroduit/Weasis

  Weasis is a DICOM viewer available as a desktop application or as a web-based application.

  Language:Java82850471293

• pymedphys/pymedphys

  A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.

  Language:Python3112868673

• qurit/rt-utils

  A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

  Language:Python199107057

• pyplati/platipy

  Processing Library and Analysis Toolkit for Medical Imaging in Python

  Language:Python11746128

• Medha11/Twitter-Trends

  Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user mentions and displaying details for each trending topic using trends graph, live tweets and summary of related articles. It also included Topic Modelling and Entity Categorization to classify the tweets and extract valuable information about its contents and find similar tweets and related articles and URLs. A trending topic is represented as a word cloud created from set of keywords (hashtags or user mentions) that belong to that topic. Thus this application provides the required information to get an overhaul of the topics which are trending at that particular time. This data can be used to support social analysis, finance, marketing or news tracking.

  Language:Python9810027

• rafidrm/gancer

  Generative Adversarial Networks for Computationally Efficient Radiotherapy

  Language:Python489019

• anmcgrath/rt-dtools

  Radiotherapy Dose Tools

  Language:C#236420

• ingham-physics/coding-club

  Code, scripts and notebooks from Ingham's Medical Physics Coding Club

  Language:Jupyter Notebook12223