Improved detection of breast cancer nuclei using modular neural networks

A modular neural network-based approach to detect and classify breast cancer nuclei stained for steroid receptors in hispathological sections is evaluated. The system named biopsy analysis support system (BASS) is designed so that it simulates closely the assessment procedures as practiced by hispathologists.

Improved detection of breast cancer nuclei using modular neural networks

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Cite as

Erratum: Dynamical neural networks that ensure exponential identification error convergence (Neural Networks (1997) 10:2 (299-314)) PII S0893608098000409

Classification capacity of a modular neural network implementing neurally inspired architecture and training rules

Dynamic Autoregressive Neural Networks for Spatially Distributed Time Series Prediction of Car Crashes in Urban Networks