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Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 DRAC 2022, Held Conjunction with Singapore, September 18-22, Proceedings

Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 DRAC 2022, Held Conjunction with Singapore, September 18-22, Proceedings in Franklin, TN

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Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 DRAC 2022, Held Conjunction with Singapore, September 18-22, Proceedings

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Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 DRAC 2022, Held Conjunction with Singapore, September 18-22, Proceedings in Franklin, TN

Current price: $69.99
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Size: Paperback

This book constitutes two challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore during September 18-22, 2022.
The peer-reviewed 20 long and 5 short papers included in this volume stem from the following three biomedical image analysis challenges:
• Mitosis Domain Generalization Challenge (MIDOG 2022),
• Diabetic Retinopathy Analysis Challenge (CRAC 2022)
The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.
This book constitutes two challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore during September 18-22, 2022.
The peer-reviewed 20 long and 5 short papers included in this volume stem from the following three biomedical image analysis challenges:
• Mitosis Domain Generalization Challenge (MIDOG 2022),
• Diabetic Retinopathy Analysis Challenge (CRAC 2022)
The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.

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