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3d_medical_segmentation_hippocampus

U-net model applied to MRI brain scan to segment volume of the hippocampus

arcore-unity-mri-brain

Visualizing a 3D model of a brain segmented from an MRI, with Google ARCore (Preview) for Unity.

brain-mri-segmentation-using-unet

UNET model for segmenting brain MRI images for 3D modeling

brain-tumor-detection-and-segmentation-using-deep-learning

This repo includes Glioma Segmentation with Mask R-CNN and U-Net.

brain-tumour-detection-and-localization

This project just detects and localizes three types of brain tumour namely Meninigioma, Glioma and Pituitory Tumours using RetinaNet with Resnet152 as backbone with an accuracy(not mAP) of 76%.

brain_segmentation

brain_tumour_detection_using_mri_scans

Brain tumors are the consequence of abnormal growths and uncontrolled cells division in the brain. They can lead to death if they are not detected early and accurately. Some types of brain tumor such as Meningioma, Glioma, and Pituitary tumors are more common than the others.

brainmrigenerativemodels

This repo contains architectures of generative models for 3D brain MRI scans.

braintumor_3dauto_segmentation_u_net_model_mri

A personal project that involves creating a deep learning 3D automatic image segmentation u-net model for separating brain tumor segments from MRI images.

infidat-prj-nlp-guided-anoop

learn_computer_vision

This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube

master_thesis_survival_analysis

Survival Analysis using Logistic-Hazard and a 3D ResNet model trained on 3D MRI brain images.

mc-andrew

mri-cnn

mri-extrct

om-net

Code release for the TIP paper and MICCAI2018 paper "One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation".

prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

slices-to-3d-brain-vae

Code accompanying "Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE"

srh_glioma_recurrence

Code repository for paper titled "Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks"