Sheema KhattakSBBWU · Computer Science
Sheema Khattak
MS (CS)
Assistant Professor Computer Science, Higher Education Department,Kpk.
About
8
Publications
187,776
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28
Citations
Citations since 2017
Introduction
Additional affiliations
February 2010 - present
SBBWU
Position
- Lecturer
Education
December 2012 - December 2014
AUP
Field of study
- Computer Science
Publications
Publications (8)
Diabetic retinopathy (DR) is a leading cause of preventable blindness caused by damaged blood vessels in the eye, if not treated early on. The aim of this research work was to develop a method for the automatic detection of Diabetic Retinopathy and proposing a model for deciding the progression/severity using fundus images. The method was developed...
Tuberculosis (TB) is the second largest death disease after Human Immunodeficiency Virus (HIV). In Pakistan as well as other countries radiologists faced a lot of problems in diagnosis the TB. The population of Pakistan is about 180,000,000 in which mostly peoples are poor. This paper presents our findings regarding this issue. In this work there i...
Defect inspection is very important for the assessment of quality of manufactured products or naturally occurring surfaces. Defect inspection techniques can be applied for detecting defects in various scenarios; Medical imaging is one of them. In this paper, three different methods have been compared based for the detection of the skin disease Cuta...
This was my M.sc project back in 2009. I implemented it in Linux. It was a new idea back then. I was not aware of the fact at that time that my work should be published and when I came to the level when I was able to publish it was too late.
The core of image analysis is segmenting the image into meaningful chunks of data to be used for decision making depending on the given problem. The main focus of our work is to achieve segmentation based on multilevel thresholding using entropy. Entropy has been calculated using Shannon, Tsallis, Renyi and Maximum Entropy. The novelty of this rese...
Image segmentation plays an important role in
medical imaging applications. Therefore, accurate methods are
needed for the successful segmentation of medical images for
diagnosis and detection of various diseases. In this paper, we have
used maximum entropy to achieve image segmentation. Maximum
entropy has been calculated using Shannon, Renyi and...
Image segmentation plays an important role in medical imaging applications. Therefore, accurate methods are needed for the successful segmentation of medical images for diagnosis and detection of various diseases. In this paper, we have used maximum entropy to achieve image segmentation. Maximum entropy has been calculated using Shannon, Renyi and...
Questions
Questions (78)
How can we determine from the results of PSNR and MSE that how is the quality of the images for quantitative and qualitative analysis.
Methods like ROC/AUC, precision,specificity and accuracy etc are used for quantitative analysis. What are other methods to evaluate the results.
Since Random walker is used for both segmentation as well as classification. But it works on supervised learning so is it better to comapre it with other segmentation techniques or classification techniques like SVM.
Which area in cultural heritage preservation using computer vision techniques still need to be explored since, there are so many survey papers on Perception enhancement, restoration and preservation, monitoring,interpretation and collection analysis already.
How can computer vision help in cultural heritage preservation? And which algos are used
If we have multimodal histogram, how can we normalize or curve fit it.Since, hisfit gives only one peak normalization or fit.
I s there any such tool in matlab which can make RVM implementation easy with minimal training for use .
How to understand what RVM is showing and how to plot an output out from the results?
How should be the introduction portion written in a research article to get the paper published in computer vision.
Projects
Project (1)
