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cardiacsegmentationtutorial

A tutorial to start playing around with medical image segmentation.

cf

Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications

chapter-15

Code related to Chapter 15 of the book; The evaluation of auto-contouring for radiotherapy

chapter-3

Code to support the experiments in chapter 3; Evaluation of atlas selection methods for atlas-based segmentation

characterization-of-binary-machine-learning-classifier-for-robust-heart-disease-prediction

Large number of patients related data is stored and maintained in the health industry. Heart disease is the most common one nowadays. The different ways of predicting it are Electrocardiogram (ECG), stress test, and Heart MRI. Here, the proposed model uses 13 parameters for the prediction of heart disease that includes heart rate, chest pain, cholesterol level, blood pressure, Age etc. The aim of this model is to predict whether heart disease is present or not using the various machine learning models such as Decision Tree, Random Forest, Logistic Regression, Naïve Bayes. We have achieved 0.3312 log loss using the Logistic Regression.

chat

Modern Chat App for Frappe

cinemri-simulation

CineMRI simulator for radiotherapy in python. Inputs are pretreatment 4DCT and 3D MRI with organ delineations.

clevercsv

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

complex-scheduling-optimization-case-studies

Optimization Case Studies: Generic Time Scheduling Problem (GTSP), Resource-Constrained Project Scheduling Problem (RCPSP) with Pulse Variables

complexitycalc

VMAT modulation complexity index calculator based on https://github.com/victorgabr/ApertureComplexity

conehead

A collapsed-cone convolution radiotherapy dose calculation algorithm

connect

The swiss army knife of healthcare integration.

conrad

convex radiation treatment planning

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

ct

Computed Tomography simulator

ct-image-segmentation

Segmentation in Head and Neck CT images. Report - https://github.com/MrinalJain17/CT-image-segmentation/blob/master/reports/Report.pdf

ct-simulator

The computed tomography simulation process

ct_simulator

CT Simulation Tool for adjusting imaging parameters

ctpy

A module for the processing and segmentation of CT data

ctscan-simulator

CT Scan simulator

dask-modelling-example

Healthcare modelling using Python, Pandas and Dask

data-modeling-with-postgres-project

Developed a relational database using PostgreSQL to model user activity data for a music streaming App Sparkify

dcmannotate

deepphe-release

Public release of the DeepPhe analytic software

densevnet3d_chest_abdomen_pelvis_segmentation_tf2

This Repo containes the implemnetation of DenseVent in tensorflow 2.0 for chest-abdomen-pelvis (CAP) Segmentation

dermatologist-ai

detemine-risk-classification-for-prostate-cancer

This program determines the risk classification of prostate cancer based on cT Staging, Gleason Score and PSA level at diagnosis of Prostate Cancer patients

diagnosis-diabetes-in-females-using-ml

Machine Learning Classification Models | Data Visualization

dicom-server

OSS Implementation of DICOMweb standard