mlsanityData to 7 Oct 2026

Gravity Network for end-to-end small lesion detection

arXiv 2309.12876 ↗First posted 22 Sep 2023cs.CV cs.AIcited by 0

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Abstract (arXiv)

This paper introduces a novel one-stage end-to-end detector specifically designed to detect small lesions in medical images. Precise localization of small lesions presents challenges due to their appearance and the diverse contextual backgrounds in which they are found. To address this, our approach introduces a new type of pixel-based anchor that dynamically moves towards the targeted lesion for detection. We refer to this new architecture as GravityNet, and the novel anchors as gravity points since they appear to be "attracted" by the lesions. We conducted experiments on two well-established medical problems involving small lesions to evaluate the performance of the proposed approach: microcalcifications detection in digital mammograms and microaneurysms detection in digital fundus images. Our method demonstrates promising results in effectively detecting small lesions in these medical imaging tasks.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 18 of its 77 references that are in the map. First posted on arXiv 22 Sep 2023.

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18 of 77 references.

References · 18

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6 more
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