Home| Join Now | Sign In | Trainers Login              
SPIRO, Spiro, project for student, student projects

A UNIT OF SPIRO GROUP OF COMPANIES

A RESEARCH & DEVELOPMENT ORGANIZATION

For Project Enquiry +91 9791 044 044

To Search
Last Live Projects with video description
VLSI Projects, Student Projects, Best Projects, College Projects Matlab Projects, vlsi projects Final Year Projects in Chennai , Final Year Training Projects in Chennai
Slideshow Image 1
Four Class Classification of Skin Lesions With Task Decomposition Strategy
Post Your concept Get Project
Guidance
It is purposely dedicated for innovative students. Here we encourage students who have new concepts and projects in various domains.

For Project Title


Project Zone > Electronics > Image Processing

Social share: Facebook SPIRO Google Plus

Four-Class Classification of Skin Lesions With Task Decomposition Strategy

Category : Image Processing


Sub Category : BIOMEDICAL


Project Code : IMP09


Project Abstract

This paper proposes a new computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocytic skin lesions (NoMSLs). The computer-aided skin lesion classification has drawn attention as an aid for detection of skin cancers. Several researchers have developed methods to distinguish between melanoma and nevus, which are both categorized as MSL. However, most of these studies did not focus on NoMSLs such as basal cell carcinoma (BCC), the most common skin cancer and seborrheic keratosis (SK) despite their high incidence rates. It is preferable to deal with these NoMSLs as well as MSLs especially for the potential users who are not enough capable of diagnosing pigmented skin lesions on their own such as dermatologists in training and physicians with different expertise.

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:

          This is a computer-aided diagnosis system for melanoma. The novelty lies in the optimized selection and integration of features derived from textural, border based, and geometrical properties of the melanoma lesion.

          Classification is done through the use of four classifiers; namely, support vector machine, random forest, logistic model tree, and hidden naive Bayes.

PROPOSED CONCEPT:

          This concept computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocytic skin lesions (NoMSLs). The computer-aided skin lesion classification has drawn attention as an aid for detection of skin cancers.

EXISTING  TECHNIQUE :

          WAVELET-DECOMPOSITION AND BOUNDARY-SERIES MODEL

PROPOSED ALGORITHM:

           TASK DECOMPOSITION STRATEGY  AND FLAT MODEL

TECHNIQUE DEFINITION:

          The visual characteristics of a lesion which constitutes the basis of clinical diagnostic approaches can be captured through texture analysis. According to the ABCD rule of dermoscopy, asymmetry is given the highest weight among the four features of asymmetry, border irregularity, color, and differential  structures.

ALGORITHM DEFINITION:

           From each skin lesion image, we extracted the border between the tumor and the surrounding normal skin area. Accurate border detection usually results in better classification performance. The general border detection algorithm is used for both MSLs and NoMSLs.

DRAWBACKS:

          The major disadvantage of this system is less flexible and less efficient and it cannot be operated by patients it need physicians or trained professional to operate.

          It has several components and it’s complicated to work.

          Images are in different conditions, the border detection step in two-third of them is done manually so less accuracy and efficiency.

          Slow and low resolution images.

ADVANTAGES:

          High efficiency and flexibility in exploiting the discriminant power of different types of features and therefore improving the recognition accuracy

          This technique confers the advantages to both physicians and patients by eliminating the need for clinic appointments, data privacy and physician training issues have been raised.

          Automated or semi-automated segmentation methods would have improvements in efficiency and accuracy.


 
 
MILE STONES
GUARANTEES
CONTACT US
 
Training and Developemet, Engg Projects
So far we have provided R&D training for more than 1,00,000 engineering Students.
Latest Projects 2012, Latest Technologiy Project
Had conducted seminars in the recent trends of technology at various colleges.
Our research projects had been presented in various National & International Conferences.
Most of our projects were identified by the industries as suitable for their needs.
Our n-number of students got research scholarship to extend our assisted projects for further development.
   
   
Training and Developemt, Project Development in Chennai
SPIRO guarantees small class sizes.
Final Year Projects
SPIRO guarantees quality instructors.
Student Projects, Stupros
SPIRO guarantees competence.
Projects, student projects
SPIRO guarantees that training from SPIRO will be more cost-effective than training from any other source.
Final Year Projects, Projects, student projects
SPIRO guarantees that students in open-enrollment classes are protected against cancellations and will be able to receive desired training at the cost they expect and in the time frame they have planned.
Projects for student
SPIRO guarantees overall quality with a 100% money-back guarantee. If you're not totally satisfied for any reason, simply withdraw before the second day of any class. Notify the instructor and return all course materials and you will receive a 100% refund.
SPIRO SOLUTIONS PRIVATE LIMITED
For ECE,EEE,E&I, E&C & Mechanical,Civil, Bio-Medical
#1, C.V.R Complex, Singaravelu St, T.Nagar, Chennai - 17,
(Behind BIG BAZAAR)Tamilnadu,India
Mobile : +91-9962 067 067, +91-9176 499 499
Landline : 044-4264 1213
Email: info@spiroprojects.com

For IT, CSE, MSC, MCA, BSC(CS)B.COM(cs)
#78, 3rd Floor, Usman Road, T.Nagar, Chennai-17.
(Upstair Hotel Saravana Bhavan) Tamilnadu,India
Mobile: +91-9791 044 044, +91-9176 644 044
E-Mail: info1@spiroprojects.com
About Us | Project Training | Privacy policy | Disclaimer | Contact Us

Copyright © 2015-2016 Stupros All rights reserved.