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Evaluation of Dense Vessel Detection in NCCT Scans.

, , , , , и . BIOSTEC (Selected Papers), том 881 из Communications in Computer and Information Science, стр. 134-145. Springer, (2017)

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Dilys Sefakor Kpongor

 

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Fully Automated Volumetric Measurement of Malignant Pleural Mesothelioma from Computed Tomography Images by Deep Learning: Preliminary Results of an Internal Validation., , , , , , , и . BIOIMAGING, стр. 64-73. SCITEPRESS, (2020)Estimating the False Positive Prediction Rate in Automated Volumetric Measurements of Malignant Pleural Mesothelioma., , , , , , , и . BIOSTEC (Selected Papers), том 1400 из Communications in Computer and Information Science, стр. 116-139. Springer, (2020)Evaluation of Dense Vessel Detection in NCCT Scans., , , , , и . BIOSTEC (Selected Papers), том 881 из Communications in Computer and Information Science, стр. 134-145. Springer, (2017)Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans., , , , , , , и . MIUA, том 723 из Communications in Computer and Information Science, стр. 494-505. Springer, (2017)Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans., , , , и . LABELS/HAL-MICCAI/CuRIOUS@MICCAI, том 11851 из Lecture Notes in Computer Science, стр. 3-12. Springer, (2019)Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT., , , , , , и . MIUA, том 723 из Communications in Computer and Information Science, стр. 537-547. Springer, (2017)