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Assessing the Role of Random Forests in Medical Image Segmentation.

, , , и . CoRR, (2021)

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Iñaki Soto-Rey

Iñaki Zabaleta-Gorrotxategi

Ricardo Soto

María Soto

Martín Soto

 

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Assessing the Role of Random Forests in Medical Image Segmentation., , , и . CoRR, (2021)Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer., , , , , , , , , и 3 other автор(ы). CoRR, (2024)Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net., , и . CoRR, (2020)An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks., , и . IEEE Access, (2022)MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data., , , , , и . CoRR, (2022)Standardising the Development of ODM Converters: The ODMToolBox., , , , , , , , и . MIE, том 247 из Studies in Health Technology and Informatics, стр. 231-235. IOS Press, (2018)Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models., , и . GMDS, том 283 из Studies in Health Technology and Informatics, стр. 23-31. IOS Press, (2021)Automated Transformation of CDISC ODM to OpenClinica., , , , и . GMDS, том 243 из Studies in Health Technology and Informatics, стр. 95-99. IOS Press, (2017)Towards a Guideline for Evaluation Metrics in Medical Image Segmentation., , и . CoRR, (2022)Interoperability Improvement of Mobile Patient Survey (MoPat) Implementing Fast Health Interoperability Resources (FHIR)., , , и . EFMI-STC, том 258 из Studies in Health Technology and Informatics, стр. 141-145. IOS Press, (2019)