Fung Fung Ting

According to our database, Fung Fung Ting authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model.

Bakhtiar Amaludin, Seifedine Kadry, Fung Fung Ting, David Taniar

Int. J. Imaging Syst. Technol., January, 2024

CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

CoRR, 2024

2023

ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

CoRR, 2023

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

CoRR, 2023

CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

CoRR, 2023

RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection.

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2019

Convolutional neural network improvement for breast cancer classification.

Fung Fung Ting, Yen Jun Tan, Kok-Swee Sim

Expert Syst. Appl., 2019

2018

Case-control comparison brain lesion segmentation for early infarct detection.

Fung Fung Ting, Kok-Swee Sim, Chee Peng Lim

Comput. Medical Imaging Graph., 2018