Accessible Melanoma Detection using Smart phones and Mobile Image Analysis
Product Description
Abstract:
MOBILE devices, including
smart phones, are being used by billions of people all around the world. This
creates the opportunity to design a wide variety of mobile image applications,
Among many imaging applications, healthcare applications have drawn a lot of
attentions recently. In the
existing design a detection system that is optimized to run entirely on the
resource constrained smart phone. Our system intends to localize the skin
lesion by combining a lightweight method for skin detection with a hierarchical
segmentation approach using two fast segmentation methods. In the proposed system Statistical Confidence Intervals based segmentation model
is designed henceforth the classification is further done by resilient neural
network(RNN) to improve the quality of classification .A morphological study is
been developed here for deep understanding of the image features etc.
Proposed Design:
In the
proposed system Statistical Confidence Intervals
based segmentation model is designed henceforth the classification is further
done by resilient neural network(RNN) to improve the quality of classification
.A morphological study is been developed here for deep understanding of the
image features etc.
Proposed Solution:
- Early
detection of disease
- Accuracy will be improved
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Package Includes
Software Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days
Hardware Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Lit survey
- Full Project Documentation
- Online support
The Delivery time for Hardware
projects is 7-8 working days.
Mini Projects: Software Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
The
Delivery time for software Miniprojects is 2 -3 working days.
Mini Projects - Hardware includes
- Demo Video
- Abstract
- PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Full Project Documentation
- Online
support
The Delivery time for Hardware Mini projects is 7-8 working days.