Also published on: SBBf-2024
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DEVELOPMENT OF DEEP LEARNING MODELS WITH SYNTHETIC DATA AUGMENTATION FOR THE IDENTIFICATION OF MULTIPLE-TIP ARTIFACTS IN ATOMIC FORCE MICROSCOPY IMAGES
SBBf-2024
DEVELOPMENT OF AN INTEGRATED METHODOLOGY FOR ANALYZING INTERACTIONS IN SOLID PHARMACEUTICAL FORMULATIONS USING ATOMIC FORCE MICROSCOPY AND PYTHON
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