A Deep Architecture for Visually Analyze Pap Cells

A Deep Architecture for Visually Analyze Pap Cells

This work proposes a deep ANN architecture which accomplishes the reliable visual classification of abnormal Papsmear cell. The system is driven by independent agents where the first agent consists of a three layer ANN pretrained to closely track a reticle pattern. This net participates in a local close loop that oscillates and produces unique time-space versions of the visual data. This information is stabilized and sparsed in order to obtain...

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