Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care.
Ibrahim Olatunji IdowuPaul FergusAbir Jaafar HussainChelsea DobbinsMohammed KhalafRaúl V. Casaña EslavaRobert KeightPublished in: CIT/IUCC/DASC/PICom (2015)
Keyphrases
- artificial intelligence
- daily activities
- long term
- intelligent systems
- computer science
- expert systems
- human activities
- computational intelligence
- cervical cancer
- neural network
- ai technologies
- ultrasound images
- automatic detection
- software engineering
- machine learning
- image processing
- ambient intelligence
- intelligent agents
- knowledge based systems
- knowledge representation
- user interface
- medical images
- health care
- computer aided
- artificial neural networks
- multi agent
- computer vision
- activity theory
- information retrieval
- fuzzy logic