kibromberihu Goto Github PK

a-path-planing-

A8 Path Planing using Octomap and ROS

ai4elife

This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.

b31xb-iip-compression-segmentation

compression-segmentation

b31xb-iip-introduction-skimage

b31xi-si-clustering

Practise of Pattern Recignition tackling the problematic of Clustering

b31xi-si-ensemble-classifiers

Practise of Pattern Recignition tackling the problematic of Ensemble Classifiers

b31xi-si-features-extraction

Practise of Pattern Recignition tackling the problematic of Features Extraction

b31xi-si-features-normalisation

Practise of Pattern Recignition tackling the problematic of Features Normalisation

b31xi-si-features-selection

Practise of Pattern Recignition tackling the problematic of Features Selection

b31xi-si-probabilistic-classifiers

Practise of Pattern Recignition tackling the problematic of Probabilistic Classifiers

b31xi-si-syllabus

Syllabus for the module of Scene Segmentation and Interpretation

complete-python-bootcamp-master

Complete-Python-Bootcamp

interactive-image-segmentation

Fast interactive medical image segmentation

kibromberihu.github.io

lfbnet

This repository implements a robust deep learning method (LFBNet) for medical image segmentation using a two systems approach. Learning fast and slow strategy for robust medical image analysis.

machine_learning

Machine learning implemented in Matlab code: Course from Coursera

python-programming-

This repository consists the Complete-Python-Bootcamp tutorials and assignments

tumorlocationprofiler

Characterizing tumor location relative to a reference organ on baseline whole-body PET/CT images.