Abstract: Labeling large amounts of medical data is travailing, leading to the blooming of few-shot medical image segmentation, which aims to segment the foreground of a query image given a labeled ...

Abstract: In this article a novel approach for separation of fish image regions implementing instance coefficients and separating masks is proposed. After considering the instance-specific ...

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A completed system for segmenting handwritten Armenian letters in images using binary masks. The project accurately identifies and isolates letter regions in the Mashtots dataset through binary image ...

The remarkable performance of large multimodal models (LMMs) has attracted significant interest from the image segmentation community. To align with the next-token-prediction paradigm, current ...

To address the trade-off between segmentation performance and model lightweighting in computer-aided skin lesion segmentation, this paper proposes a lightweight network architecture, Multi-Conv ...

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