Diagnostics | Free Full-Text | Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification
Improved interobserver agreement on nodule type and Lung-RADS classification of subsolid nodules using computer-aided solid component measurement - ScienceDirect
A bimodal BI-RADS-guided GoogLeNet-based CAD system for solid breast masses discrimination using transfer learning - ScienceDirect
Aerospace | Free Full-Text | Design of High-Performance and General-Purpose Satellite Management Unit Based on Rad-Hard Multi-Core SoCand Linux
Frontiers | Diagnosis of Breast Cancer Using Radiomics Models Built Based on Dynamic Contrast Enhanced MRI Combined With Mammography
Frontiers | CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)
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Characterisation of prostate cancer using texture analysis for diagnostic and prognostic monitoring - Singh - 2021 - NMR in Biomedicine - Wiley Online Library
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A breakage kernel for use in population balance modelling of twin screw granulation - ScienceDirect
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Characterisation of prostate cancer using texture analysis for diagnostic and prognostic monitoring - Singh - 2021 - NMR in Biomedicine - Wiley Online Library
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Deep learning applications in radiology: a deep dive on classification
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Cancers | Free Full-Text | A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans
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2990WX -- 4.1GHz --24/7 -- All-Cores -- Shared Benchmark Script -- UPDATE-9-25-18 --Kernel-4.19.0-rc5 -- What 'make FLAGS' do you all usually use when compiling the Linux kernel and why? - CPU - Level1Techs Forums
Sensors | Free Full-Text | A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography
