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Found 2 papers, 1 papers with code
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
While there exist multiple, general-purpose, deep learning-based object detection and counting methods, they may not readily transfer to detecting and counting cells in medical images, due to the limited data, presence of tiny overlapping objects, multiple cell types, severe class-imbalance, minute differences in size/shape of cells, etc.
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation
We evaluate our method on four public medical segmentation datasets and a novel histopathology dataset that we introduce.
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