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Moallemi C. (1991). Classifying cells for cancer diagnosis using neural networks. IEEE Expert, 12, 8--12.

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Assessing the Importance of Features for Multi-Layer.. - Egmont-Petersen.. (1998)   (Correct)

....classifier; Pruning; Insight; Feature metrics; Feature measures 1. Introduction Multi layer perceptrons (MLPs) have been trained to perform various classification tasks (Cibas et al. 1996; Cunningham et al. 1992; Hansen et al. 1992; Harrison et al. 1991) Hart et al. 1989; Hripcsak, 1990; Moallemi, 1991; Poli et al. 1991; Schiler et al. 1992; Schizas et al. 1990; Vogelsang, 1993) An MLP classifier performs a mapping from an input (feature or attribute) space onto an output (class) space. Cases are represented in the input space of the MLP by a vector that contains the n feature values of a ....

Moallemi C. (1991). Classifying cells for cancer diagnosis using neural networks. IEEE Expert, 12, 8--12.


Using a Hybrid Neural/Expert System for Data Base Mining in.. - Palstra (1995)   (1 citation)  (Correct)

....that an expert s classification strategy can be learned, even if the expert has no formal understanding of how they make their decisions. Back propagation neural networks have been used successfully on a wide range of classification problems ranging from disease diagnosis [2] to artificial vision [24, 19]. Work has also been done with neural networks to classify the sometimes subjective issue of rising or falling sales figures over time [20] Although neural networks often provide very accurate pattern classification, based only on example, they offer no explanation of how they derived their ....

Ciamac Moallemi. Classifying cells for cancer diagnosis using neural networks. IEEE Expert, pages 8--12, December 1991.


A Comparison Of Image Processing Techiques And Neural.. - Victor Ciesielski   (Correct)

....raw pixel data since the search for good features and preprocessing operators can be avoided. The use of neural nets in vision systems is not new but has generally been restricted to the final stages of vision systems for classifying the feature vectors extracted during earlier processing as in [5, 8]. 2 The Problem Domain Detecting whether bacteria are growing on a bacteriology plate is a key step in many procedures in the clinical microbiology laboratory. A common procedure involves preparing plate media with different characteristics and nutrients, placing seed bacteria from patient ....

C. Moallemi. Classifying cells for cancer diagnosis using neural networks. IEEE Expert, pages 8--12, Dec. 1991.


Detection of Malignancy Associated Changes in Cervical Cells.. - Hallinan (1999)   (Correct)

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Moallemi, C. 1991. 'Classifying cells for cancer diagnosis using neural networks', IEEE Expert, vol. 6. no. 6. p.8 -- 12.

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