computer-aided-detection
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Hierarchical probabilistic 3D U-Net, with attention mechanisms (βππ΅π΅π¦π―π΅πͺπ°π― π-ππ¦π΅, ππππ¦π΄ππ¦π΅) and a nested decoder structure with deep supervision (βπππ¦π΅++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
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Computer-assisted image straightening and cropping
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Official Python implementation of IEEE JBHI 2021 paper: "Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images"
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Computer-aided detection and diagnosis program
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AnΓ‘lisis Computacional de Eventos de Protesta (ACEP). Computer-Aided Protest Event Analysis (CAPEA)
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AiAi code-charity project for Cancer and Tuberculosis screening in Radiology Chest X-Rays (PA - CXR) using Deep Learning powered CAD algorithms. Come join our all-volunteer team to improve the healthcare in emerging nations!
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C++ implementation of oral cancer detection on CT images
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Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations
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Public release of ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
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π About BreastScreening Project
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π MIDA Project Webpage
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