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Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers.

, , , , , , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)

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Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers., , , , , , , , , and 1 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies., , , , and . Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies., , , , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 1132013. SPIE, (2020)Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease., , , , , , , , and . Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks., , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 1058110. SPIE, (2018)Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN., , , , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 1132019. SPIE, (2020)Computerized image analysis of cell-cell interactions in human renal tissue by using multi-channel immunoflourescent confocal microscopy., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83153F. SPIE, (2012)Application and generalizability of U-Net segmentation of immune cells in inflamed tissue., , , , , , and . Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)