reviewJournal of ImagingFeb 15, 2025GOLD OA

Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues

MAMuhammad AliVBViviana BenfanteGBGhazal BasiriniaPAPierpaolo AlongiASAlessandro Sperandeo

Ri.MED · University of Palermo · +2 more institutions

PubMed
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Abstract

Artificial intelligence (AI) transforms image data analysis across many biomedical fields, such as cell biology, radiology, pathology, cancer biology, and immunology, with object detection, image feature extraction, classification, and segmentation applications. Advancements in deep learning (DL) research have been a critical factor in advancing computer techniques for biomedical image analysis and data mining. A significant improvement in the accuracy of cell detection and segmentation algorithms has been achieved as a result of the emergence of open-source software and innovative deep neural network architectures. Automated cell segmentation now enables the extraction of quantifiable cellular and spatial…

Citation impact

53
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FWCI
68.04
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100%
References
194
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Authors

12

Topics & keywords

Topics
Keywords
  • Artificial intelligence
  • Computer science
  • Deep learning
  • Segmentation
  • Image segmentation
  • Feature extraction
  • Artificial neural network
  • Machine learning
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