Summary of Accurate Leukocyte Detection Based on Deformable-detr and Multi-level Feature Fusion For Aiding Diagnosis Of Blood Diseases, by Yifei Chen et al.
Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases
by Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao
First submitted to arxiv on: 1 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to leukocyte detection, addressing the limitations of traditional methods. The Multi-level Feature Fusion and Deformable Self-attention DETR (MFDS-DETR) model is designed to tackle issues such as scale disparity and feature scarcity. It combines high-level features with low-level information through channel attention modules and deformable self-attention mechanisms. This approach enables the extraction of global features from leukocyte maps, improving detection accuracy. The paper compares MFDS-DETR with other state-of-the-art models on private WBCDD, public LISC and BCCD datasets, demonstrating its effectiveness, superiority, and generalizability. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes a big change in how doctors look at blood samples. Right now, they have to manually count tiny white cells called leukocytes under a microscope. But this process is slow, prone to mistakes, and can even lead to wrong diagnoses. To fix this, scientists created a new way to detect leukocytes using computer vision. They developed a special model that combines information from different parts of the image with attention mechanisms. This helps it learn more about what makes each type of leukocyte unique. The researchers tested their method on some big datasets and showed that it’s better than other ways doctors are doing things now. |
Keywords
» Artificial intelligence » Attention » Self attention
