Deep Learning using DIGITS
-
- TAKAHASHI Noriyuki
- Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita
Bibliographic Information
- Other Title
-
- ディープラーニングツールDIGITS
- : Introduction
- -基本編-
Search this article
Abstract
<p>DIGITS is a free web application that can be used to simply and rapidly train deep neural network for image classification, segmentation, and object detection. DIGITS provides a graphical interface to frameworks without dealing with them directly on the command line. DIGITS simplifies deep learning procedures such as constructing data, setting and training deep neural networks, observing training performance in real time with visualization. This paper presents a brief overview of how to use DIGITS to construct dataset of images for classification, train network a model, and classify the images using chest X-ray images.</p>
Journal
-
- Medical Imaging and Information Sciences
-
Medical Imaging and Information Sciences 36 (2), 50-52, 2019-06-30
MEDICAL IMAGING AND INFORMATION SCIENCES
- Tweet
Keywords
Details
-
- CRID
- 1390564238104521984
-
- NII Article ID
- 130007668681
-
- ISSN
- 18804977
- 09101543
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed