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Found 5 papers, 0 papers with code
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation
Each pair of auxiliary mask and box prompts, which can solve the requirements of extra prompts, is associated with class label predictions by the sum of the auxiliary classifier token and the learnable global classifier tokens in the mask decoder of SAM to solve the predictions of semantic labels.
Online Multi-spectral Neuron Tracing
In this paper, we propose an online multi-spectral neuron tracing method with uniquely designed modules, where no offline training are required.
Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Recently, due to the increasing requirements of medical imaging applications and the professional requirements of annotating medical images, few-shot learning has gained increasing attention in the medical image semantic segmentation field.
MLP-GAN for Brain Vessel Image Segmentation
Brain vessel image segmentation can be used as a promising biomarker for better prevention and treatment of different diseases.
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking
However, current methods for detailed understanding of actor and action have significant limitations: they require large amounts of finely labeled data, and they fail to capture any internal relationship among actors and actions.
