Skip to main content

Gradient Decode DICOM is a dicom image and tag reader op for TensorFlow

Project description

TensorFlow Decode DICOM

Operations

Decode DICOM contains two Tensorflow Operations that allow reading information from DICOM files.

Decode DICOM Image

loads a dicom image file and returns its pixel information in the specified output format.

Decode DICOM Data

loads a dicom image file and returns a sting tensor with the values of each of the supplied tags.

Inputs

contents:
* Description: byte string with the file bytes. Use tf.io.read_file to read the file contents into a string.
* Type: string

Attributes

dtype:
* Description: Type for the output tensor
* Type: Dtype
* Possible Values: uint8, uint16, uint32, uint64, float, float16, double
* Default Value: uint16
color_dim:
* Description: Whether or not to include the color_dimension. If decoded image is monochrome and this attribute is True the output tensor will have an extra singleton dimension for the color.
* Type: Bool
* Default Value: True
on_error:
* Description: This attribute establishes the behavior in case an error occurs on opening the image or if the output type cannot accomodate all the possible input values. *'strict'* throws an error, *'skip'* returns 0 and *'lossy'* continues with the operation as if no error occurred.
* Possible Values: 'strict', 'skip', 'lossy'
* Default Value: 'skip'
scale:
* Description: This attribute establishes what to do with the scale of the input values. *'auto'* will autoscale the input values, if the output type is integer, *'auto'* will use the maximum output scale, if the output is float, *'auto'* will scale to [0,1]. *'preserve'* keeps the values as they are, an input value greater than the maximum possible output will be clipped.  
* Possible Values: 'auto', 'preserve'
* Default Value: 'preserve'

Outputs

output:
* Description: Pixel data of the DICOM image
* Type: Tensor of selected type (see attribute dtype)
* Dimensions: [F, I, J, C]
    * F: Number of frames
    * I: Number of rows
    * J: Number of columns
    * C: Color dimensions

Installation

    pip install gradient-decode-dicom

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for gradient-decode-dicom, version 0.0.5
Filename, size File type Python version Upload date Hashes
Filename, size gradient_decode_dicom-0.0.5.tar.gz (203.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page