sublime (version 1.3)

Automatic Lesion Incidence Estimation and Detection using Multi-Modality Longitudinal Magnetic Resonance Images

Description

Creates probability maps of incident and enlarging lesion voxels from a baseline and followup magnetic resonance imaging study in patients with multiple sclerosis.

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Version

Install

install.packages('sublime')

Monthly Downloads

Version

1.3

License

GPL

Maintainer

Elizabeth M. Sweeney

Last Published

September 30th, 2016

Functions in sublime (1.3)

SuBLIME_model

Sublime Predictive model

SuBLIME_prediction

Gets predicted probabilities from SuBLIME

normalize

Intensity-normalization by a image mask

SuBLIME-package

SuBLIME package: Subtraction-Based Logistic Inference for Modeling and Estimation

download_data

Download SuBLIME data

voxel_select

Select Potential Voxels