MTCSNet: One-Stage Learning and Two-Point Labeling are Sufficient for Cell Segmentation
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DOI: 10.1109/tmi.2024.3404428
Abstract: Deep convolution neural networks have been widely used in medical image analysis, such as lesion identification in whole-slide images, cancer detection, and cell segmentation, etc. However, it is often inevitable that researchers try their best… read more here.
Keywords: segmentation; mtcsnet; stage learning; cell segmentation ... See more keywords