Fung Fung Ting

Fung Fung Ting
Multimedia University | mmu · Faculty of Engineering and Technology

Master of Engineering

About

15
Publications
2,366
Reads
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374
Citations
Citations since 2017
9 Research Items
373 Citations
2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120

Publications

Publications (15)
Article
A novel technique based on cubic spline interpolation with linear least square regression (CSILLSR) is developed to calculate the signal-to-noise ratio (SNR) of scanning electron microscope (SEM) images. The SNR from CSILLSR method is compared with methods of nearest, linear interpolation, a combination of linear interpolation and nearest, nonlinea...
Article
Traditionally, physicians need to manually delineate the suspected breast cancer area. Numerous studies have mentioned that manual segmentation takes time, and depends on the machine and the operator. The algorithm called Convolutional Neural Network Improvement for Breast Cancer Classification (CNNI-BCC) is presented to assist medical experts in b...
Article
A technique based on the piecewise cubic Hermite interpolation (PCHI) model was previously applied to calculating the signal-to-noise ratio (SNR) in scanning electron microscope (SEM) images. An algorithm was also used by cascading the tuning technique, named adaptive tuning piecewise cubic Hermite interpolation (ATPCHIP) model. Comparisons were ma...
Article
Computed Tomography (CT) images are widely used for the identification of abnormal brain tissues following infarct and hemorrhage of a stroke. The treatment of this medical condition mainly depends on doctors' experience. While manual lesion delineation by medical doctors is currently considered as the standard approach, it is time-consuming and de...
Article
This paper presents the implementation of high data capacity code by embedding multiple colors into the code. The main intention of this project is to implement a code that consists at least double the data capacity as compared to the present Quick Response (QR) code. This paper explains the elements that consist in the proposed high data capacity...

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