marccasian

AdmissionContest-MAP

AdmissionContestC-

algorithms

Minimal examples of data structures and algorithms in Python

CV

DeepFISH

This repository provides cytogenetics related datasets to investigate the semantic segmentation

graduation

$ git remote <graduation> yearbook

GymAppBack

ICA-Public

KaryML-Framework

Machine Learning (ML) research within medicine and healthcare represents one of the most challenging domains for both engineers and medical specialists. One of the most desired tasks to be accomplished using ML applications is represented by disease detection. A good example of such a task is the detection of genetic abnormalities like Down syndrome, Klinefelter syndrome or Hemophilia. Usually, clinicians are doing chromosome analysis using the karyotype to detect such disorders. The main contribution of the current article consists of introducing a new approach called KaryML Framework, which is extending our previous research: KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps . Our major goal is to provide a new method for an automated karyotyping system using unsupervised techniques. Additionally, we provide computational methods for chromosome feature extraction and to develop an intelligent system designed to aid clinicians during the karyotyping process.

marccasian/KaryML-Framework

Machine Learning (ML) research within medicine and healthcare represents one of the most challenging domains for both engineers and medical specialists. One of the most desired tasks to be accomplished using ML applications is represented by disease detection. A good example of such a task is the detection of genetic abnormalities like Down syndrome, Klinefelter syndrome or Hemophilia. Usually, clinicians are doing chromosome analysis using the karyotype to detect such disorders. The main contribution of the current article consists of introducing a new approach called KaryML Framework, which is extending our previous research: KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps . Our major goal is to provide a new method for an automated karyotyping system using unsupervised techniques. Additionally, we provide computational methods for chromosome feature extraction and to develop an intelligent system designed to aid clinicians during the karyotyping process.

marccasian/AdmissionContest-MAP

marccasian/AdmissionContestC-

marccasian/algorithms

Minimal examples of data structures and algorithms in Python

marccasian/CV

marccasian/DeepFISH

This repository provides cytogenetics related datasets to investigate the semantic segmentation

marccasian/graduation

$ git remote <graduation> yearbook

marccasian/GymAppBack

marccasian/ICA-Public

marccasian/mcir1896-VVSS

marccasian/mlh-hackathon-flask-starter

Hackathon starter project for Flask applications

marccasian/opencv

Open Source Computer Vision Library

marccasian/Phaser-Multiplayer-Game-Tutorial

This is phaser multiplayer game in Node.js server. you can visit complete tutorial at http://gojasonyang.com/post/phaserMultiplayerGamePart1.html

marccasian/test

claudia e smekhera