Ming Kang

Orcid: 0000-0002-5256-0363

Affiliations:
  • Monash University, Clayton, Australia
  • Monash University, Malaysia Campus, Subang Jaya, Malaysia


According to our database1, Ming Kang authored at least 8 papers between 2023 and 2025.

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Bibliography

2025
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation.
Image Vis. Comput., 2024

A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities.
CoRR, 2024

CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation.
CoRR, 2024

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CST-Yolo: A Novel Method For Blood Cell Detection Based On Improved Yolov7 And CNN-Swin Transformer.
Proceedings of the IEEE International Conference on Image Processing, 2024

Cafct-Net: A Cnn-Transformer Hybrid Network With Contextual And Attentional Feature Fusion For Liver Tumor Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023


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