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brain_segmentation

brain_tumor_segmentation

Implementation of different techniques for segmentation of tumors in MRI images.

brain_tumour_segmentation

Code for training a 3DUnet for Brain tumour segmentation from Brats 2019 dataset; for feature extraction from the segmented volumes and for survival prediction. Run train.py for training, segment.py for segmenting test scans and evaluate.py for evaluating the performance of those segmentations. Basic code also written to perform survival prediction with a random forest classifiier.

braintumorsegmentation-python

Segmentation of brain tumor image is performed using basic image processing techniques in python.

braintumoursegmentationusingdeeplearning

Brain Tumour Segmentation Using DeepLabv2 algorithm.

brainy

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

brats17

Patch-based 3D U-Net for brain tumor segmentation

brats17-1

Brain tumor segmentation for MICCAI 2017 BraTS challenge

brats18-project

Brain tumor segmentation using fully-convolutional deep neural networks.

brdf

BRDF Explorer

brownian_motion

Light scattering from particles undergoing brownian motion

calc-scatpat

MATLAB implementation of the Huygens-Fresnel principle for the calculation of the scattering pattern produced from the illumination of a rectangular metasurface.

car-board-reg

基于CNN的车牌号识别

carnd-project5-vehicle_detection_and_tracking

Vehicle Detection with Convolutional Neural Network

carnd-vehicle-detection

Applied Computer Vision and Machine Learning techniques

carplateidentity

车牌识别

cctbx_lite_windows

A simpler and smaller version of Computational Crystallography Toolbox (CCTBX) that kept all the common and documented features of CCTBX

cda

Coupled Dipole Approximation

cda-1

Coupled Dipole Approximation

cda_python

Coupled dipole approximation in python

cdes-group-presentation

Code and files for group presenation on the adaptive method of lines

cdos

order-of-scattering coupled dipole approximation

ceal-medical-image-segmentation

Active Deep Learning for Medical Imaging Segmentation

celes

CELES: CUDA-accelerated electromagnetic scattering by large ensembles of spheres

celes-sphere-inverse-design

sphere based inverse design

cem

Computational ElectroMagnetism on a Yee Lattice

cem_david

The files in this directory are MATLAB scripts as outlined in Appendix F, D.B.Davidson, "Computational Electromagnetics for RF and Microwave Engineering", 2011. See the readme files (where relevant) in the sub-directories, and the headers in the invididual files for details.

ceviche

:shrimp: Electromagnetic Simulation + Automatic Differentiation

ceviche-challenges

A suite of photonic inverse design challenge problems for topology optimization benchmarking

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/