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Ming Kang

12 papers hereh-index 7639 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author10

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG1
  • eess.IV1
same name
  • Ming Kang — 2 papers, h 2
  • Ming Kang — 1 paper, h 1
  • Ming Kang — 1 paper, h 2
  • Ming Kang — 1 paper, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation

494 citations · 724 across the 12 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

3 papers · 2 filters

cs.CV2024★ 10 cited

PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices

Ming Kang, Fung Fung Ting, Raphaël C. -W. Phan +1

Brain tumor detection in multiplane Magnetic Resonance Imaging (MRI) slices is a challenging task due to the various appearances and relationships in the structure of the multiplan…

cs.CV2024★ 2 cited

A Multimodal Feature Distillation with Mamba-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities

Ming Kang, Fung Fung Ting, Shier Nee Saw +3

Existing brain tumor segmentation methods usually utilize multiple Magnetic Resonance Imaging (MRI) modalities in brain tumor images for segmentation, which can achieve better segm…

cs.CV2024★ 9 cited

CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation

Ming Kang, Chee-Ming Ting, Fung Fung Ting +1

Medical image semantic segmentation techniques can help identify tumors automatically from computed tomography (CT) scans. In this paper, we propose a Contextual and Attentional fe…

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