( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue.

, , , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Madeleine Rothe

Madeleine Richter

Madeleine Lauterbach

Madeleine Kittner

Madeleine Pilz

 

Другие публикации лиц с тем же именем

Convolutional neural networks detect cells in densely packed images at performance levels similar to human readers., , , , , , , , , и 1 other автор(ы). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12467 из 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., , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies., , , , , , и . Medical Imaging: Digital Pathology, том 11320 из SPIE Proceedings, стр. 1132013. SPIE, (2020)Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease., , , , , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN., , , , , , и . Medical Imaging: Digital Pathology, том 11320 из SPIE Proceedings, стр. 1132019. SPIE, (2020)Application and generalizability of U-Net segmentation of immune cells in inflamed tissue., , , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)