Follow
Ts. Dr. Sicily Ting Fung Fung
Title
Cited by
Cited by
Year
Convolutional neural network improvement for breast cancer classification
FF Ting, YJ Tan, KS Sim
Expert Systems with Applications 120, 103-115, 2019
4052019
Breast cancer detection using convolutional neural networks for mammogram imaging system
YJ Tan, KS Sim, FF Ting
2017 International Conference on Robotics, Automation and Sciences (ICORAS), 1-5, 2017
1172017
Self-regulated multilayer perceptron neural network for breast cancer classification
FF Ting, KS Sim
2017 international conference on robotics, automation and sciences (ICORAS), 1-5, 2017
412017
RCS-YOLO: A fast and high-accuracy object detector for brain tumor detection
M Kang, CM Ting, FF Ting, RCW Phan
International Conference on Medical Image Computing and Computer-Assisted …, 2023
92023
Signal-to-noise ratio estimation for SEM single image using cubic spline interpolation with linear least square regression
KS Sim, FF Ting, JW Leong, CP Tso
Engineering Letters 27 (1), 151-165, 2019
92019
Estimation of Window Width Setting for CT Scan Brain Images Using Mean of Greyscale Level to Standard Deviation Ratio
CS Ee, V Teh, KS Sim, FF Ting
The 2016 International Conference on Robotics, Automation and Sciences …, 2016
72016
A Rapid Medical Image Noise Variance Estimation Method
FF Ting, KS Sim, W E.K
The 2016 International Conference on Robotics, Automation and Sciences …, 2016
72016
Three-Dimensional Model Reconstruction Using Surface Interpolation with the Interfacing of Hermite Surface for Breast Cancer MRI Imaging System
FF Ting, KS Sim, Y Lee
The 2016 International Conference on Robotics, Automation and Sciences …, 2016
62016
Auto-probing breast cancer mass segmentation for early detection
FF Ting, KS Sim, SS Chong
2017 International Conference on Robotics, Automation and Sciences (ICORAS), 1-5, 2017
52017
Bgf-yolo: Enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection
M Kang, CM Ting, FF Ting, RCW Phan
arXiv preprint arXiv:2309.12585, 2023
32023
Adaptive Tuning Noise Estimation for Medical Images using Maximum Element Convolution Laplacian
FF Ting, KS Sim
International Journal of Innovative Computing, Information and Control …, 2020
32020
Toward more accurate diagnosis of multiple sclerosis:Automated lesion segmentation in brain magneticresonance image using modified U-Net model
D Amaludin, B, Kadry, S, Ting, FF, Taniar
International Journal of Imaging Systems and Technology 2023, 1-16, 2023
2*2023
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
M Kang, CM Ting, FF Ting, R Phan
arXiv preprint arXiv:2306.14590, 2023
22023
Implementing a Successful Collaborative Active Learning Approach in Information Technology Discipline
A Dharmaratne, FF Ting, G Abaei
Collaborative Active Learning, 2022
22022
Case-control comparison brain lesion segmentation for early infarct detection
FF Ting, KS Sim, CP Lim
Computerized Medical Imaging and Graphics 69, 82-95, 2018
22018
The performance of adaptive tuning piecewise cubic hermite interpolation model for signal-to-noise ratio estimation
KS Sim, ZX Yeap, FF Ting, CP Tso
International Journal of Innovative Computing, Information and Control 14 (5 …, 2018
22018
The performance of adaptive tuning piecewise cubic Hermite interpolation model for Signal-to-noise ratio estimation
KS Sim, ZX Yeap, FF Ting, CP Tso
International Journal of Innovative Computing, Information and Control …, 2018
22018
Development of High Data Capacity Color Code
KS Sim, ZY Lim, FF Ting
International Journal of Machine Learning and Computing, IJMLC 8 (4), 341-344, 2018
22018
Gastrointestinal Endoscopy Colour-based Image Processing Technique for Bleeding, Lesion and Reflux
TK Kho, KS Sim, FF Ting
The 2016 International Conference on Robotics, Automation and Sciences …, 2016
22016
Implicit Volume Ray Cast Mesh Renderer for Breast Cancer Detection
FF Ting, KS Sim
International Journal of Mechanical Engineering and Robotics Research 8 (5 …, 2019
12019
The system can't perform the operation now. Try again later.
Articles 1–20