– Special issue of International Journal of Pattern Recognition and Artificial Intelligence
– Expands upon papers from FLAIRS conference, covers various AI techniques and applications
10.1109/MIS.2005.14
Using digital information from traditional breast cancer detection techniques as well as newer detection methods, new applications of data mining and neural networks are helping doctors detect cancers sooner.
– Phonologica’s AI technology is promising and may be made available through partnerships.
– ISC’s thermographic system uses AI to enhance classification of test results.
– AI tools can help detect breast cancers sooner.
– AI tools can reduce the number of biopsies required.
– AI tools help detect breast cancers sooner and reduce biopsies.
– Neural networks and AI methods aid in pattern recognition for cancer detection.
The paper mentions that AI tools, such as neural networks and AI methods of pattern recognition, can help indicate the presence of breast cancers and reduce the number of biopsies required in the diagnostic process.
– Data mining and neural networks
– AI methods of pattern recognition
– AI tools can help doctors detect breast cancers sooner.
– AI tools can reduce the number of biopsies required in the diagnostic process.
– Digital technology and tools are being used in the design industry.
– Artificial Intelligence (AI) is one of the latest computational technologies being utilized.
– The paper reviews existing AI technology and its potential applications in manufacturing systems.
– The paper discusses tools and techniques of AI relevant to the manufacturing environment.
– AI tools are being used to detect breast cancer
– Data mining and neural networks aid in early detection and reducing biopsies
