Automatic Embedding Interventions for the Classification of Hematopoietic Cells

Author:

Grabel Philipp1,Thull Julian1,Crysandt Martina2,Klinkhammer Barbara M.3,Boor Peter3,Brummendorf Tim H.2,Merhof Dorit1

Affiliation:

1. RWTH Aachen University,Institute of Imaging and Computer Vision,Germany

2. RWTH Aachen University,Dept. of Hematology and Oncology University Hospital,Germany

3. University Hospital RWTH Aachen University,Institute of Pathology,Germany

Funder

European Research Council

Health

Ministry of Economic Affairs

Publisher

IEEE

Reference18 articles.

1. Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells

2. Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data

3. Projective Latent Interventions for Understanding and Fine-Tuning Classifiers

4. Pappenheim stain: Description of a hematological standard stain – history, chemistry, procedure, artifacts and problem solutions;binder;Laboratory Medicine,2012

5. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

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