Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
Automated tissue characterization is one of the most crucial components of a computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has been conducted in this field, the problem remains challenging. Deep learning techniques have recently achieved impressive results in a variety of computer vision problems, raising expectations that they might be applied in other domains, such as medical image analysis. In this paper, we propose and evaluate a convolutional neural network (CNN), designed for the classification of ILD patterns.
ClickMyProject Specifications
|
|
|
Including Packages
|
|
Specialization
|
|
|
* Supporting Softwares |
|
* 24/7 Support |
|
* Complete Source Code |
|
* Ticketing System |
|
* Complete Documentation |
|
* Voice Conference |
|
* Complete Presentation Slides |
|
* Video On Demand * |
|
* Flow Diagram |
|
* Remote Connectivity * |
|
* Database File |
|
* Code Customization ** |
|
* Screenshots |
|
* Document Customization ** |
|
* Execution Procedure |
|
* Live Chat Support |
|
* Readme File |
|
* Toll Free Support * |
|
* Addons |
|
|
|
* Video Tutorials |
|
|
|
|
|
|
|
*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements) |

|
This product was added to our catalog on Friday 09 June, 2017.