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eess.IV2022
CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection
Royden Wagner, Karl Rohr
Cell detection in microscopy images is important to study how cells move and interact with their environment. Most recent deep learning-based methods for cell detection use convolu…
eess.IV2022★ 1 cited
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring
Royden Wagner, Karl Rohr
Volumetric cell segmentation in fluorescence microscopy images is important to study a wide variety of cellular processes. Applications range from the analysis of cancer cells to b…