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Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans.

, , , , , , , , , , , и . MICCAI (4), том 12264 из Lecture Notes in Computer Science, стр. 594-604. Springer, (2020)

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Mamadou Sanou Diallo

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Abdourahmane Diallo

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Mamadou Bangoura

 

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False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans., , , , , , , , , и 9 other автор(ы). ISBI, стр. 1355-1359. IEEE, (2020)samplics: a Python Package for selecting, weighting and analyzing data from complex sampling designs.. J. Open Source Softw., 6 (64): 3376 (2021)Facilitating 3D Spectroscopic Imaging through Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized via Boosted Classifiers., , , , , , , , и . Prostate Cancer Imaging, том 6963 из Lecture Notes in Computer Science, стр. 47-56. Springer, (2011)Fully Differential 4-V Output Range 14.5-ENOB Stepwise Ramp Stimulus Generator for On-Chip Static Linearity Test of ADCs., , , и . IEEE Trans. Very Large Scale Integr. Syst., 27 (2): 281-293 (2019)Towards Guidance of Electrophysiological Procedures with Real-Time 3D Intracardiac Echocardiography Fusion to C-arm CT., , , , , , , , и . MICCAI (1), том 5761 из Lecture Notes in Computer Science, стр. 9-16. Springer, (2009)Electric-Field-Based Guidance for Percutaneous Catheter Vessel Crossing., , , , и . Sensors, 22 (13): 4928 (2022)Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans., , , , , , , , , и 2 other автор(ы). MICCAI (4), том 12264 из Lecture Notes in Computer Science, стр. 594-604. Springer, (2020)Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging., , , , , и . MICCAI (4), том 11073 из Lecture Notes in Computer Science, стр. 151-158. Springer, (2018)A Novel Intensity Similarity Metric with Soft Spatial Constraint for a Deformable Image Registration Problem in Radiation Therapy., , , , и . MICCAI (1), том 5761 из Lecture Notes in Computer Science, стр. 828-836. Springer, (2009)Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis., , , , , , , , и . MIDL, том 172 из Proceedings of Machine Learning Research, стр. 796-807. PMLR, (2022)