Converting DICOM images into JPG Format in Centos

Converting DICOM images into JPG Format in Centos

I wanted to work with medical image classification using Deep learning. The Image data set was .dcm format. So to convert the images to jpg format
following steps have performed.

Used ImageMagick software. http://www.ofzenandcomputing.com/batch-convert-image-formats-imagemagick/

Installed ImageMagick in Centos by downloading the rom and installing its libraries :
rpm -Uvh ImageMagick-libs-7.0.7-10.x86_64.rpm
rpm -Uvh ImageMagick-7.0.7-10.x86_64.rpm

After installation the the image which is to be converted is pointed in directory. Inside the directory executed the command:
mogrify -format jpg *.dcm

Now dcm image is converted to JPG format.

Comments

Explore python Libraries - Numpy, Scipy, Matplotlib

Numpy Gives functions for working with multidimensional arrays. Numpy arrays have 1)Rank 2)Shape (given by dim of vector) Numpy arrays can be created like: a=np.array([1,2,3],[2,3,4]) #with initialize a=np.zeros(2,2) / np.ones(2,2) / np.random.random(4,4)

A Rule Based Question Answering System in Malayalam corpus Using Vibhakthi and POS Tag Analysis

INTRODUCTION The main goal of Question Answering system is to process requests in natural language form and to provide the accurate short answers to them. Most of the web Browsers we are using today handles QA tasks as information retrieval. So instead of retrieving the precise answers we get all documents similar to our query. Rather than keyword based queries natural language expressions would be processed by efficient QA systems. Mainly there are two types of QA systems: closed domain question answering systems and open domain question answering system . Also questions can be of different forms: factoid, list, definition, description . Here we focus on factoid type question answering. In Malayalam no efficient question answering systems exist now. Other than keyword processing we need natural language processing techniques for the QA system in Malayalam. Hence this work is important in Malayalam NLP related works. Importance of Karaka Thoery and Vibhakthis for Indian Language ...

List of Computer Vision APIs

Computer Vision APIs Different computer vision tools and APIs are : Google CV Watson VR Amazon R Microsoft CV Clarif.ai Cloudsight Scale https://www.scaleapi.com/image-annotation Imagga vize.ai https://vize.ai/ http://www.recognize.im/ Moodstocks ( http://www.moodstocks.com/pricing/ ) * Kooaba ( http://www.kooaba.com/en/plans_a... ) * IQ Engines ( https://www.iqengines.com/pricing/ ) * LTU technologies ( http://www.ltutech.com/ ) Camfind - Image recognition back-end for the popular app CamFind. Take advantage of the leading image recognition platform through an easy to use web API. Recognize API | Mashape - Vufind Recognize is a real-time image recognition API for classification and monetization of photos and videos. Recognize uses object recognition to uncover meaning and metadata of photos and videos for contextual image commerce and advertising. Kooaba - Our cloud-based image recognition solutions mak...

TechVision

Search This Blog