FMaMIL combines Mamba-based multiple instance learning with learnable frequency-domain encoding and CAM-guided pseudo-label refinement to segment lesions from image-level labels only.
Encoder-decoder with atrous separable convolution for semantic im- age segmentation, in: Proceedings of the European conference on computer vision (ECCV), pp
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FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images
FMaMIL combines Mamba-based multiple instance learning with learnable frequency-domain encoding and CAM-guided pseudo-label refinement to segment lesions from image-level labels only.