Computer-aided diagnosis of thyroid malignancy using an artificial immune system classification algorithm

Konstantinos K Delibasis1, Pantelis A Asvestas, George K Matsopoulos

  • 1National Technical University of Athens, Athens 15780, Greece.

Summary

This study introduces a computer-aided diagnosis system using artificial immune systems to improve thyroid cancer detection from fine needle aspiration (FNA) samples. The novel BoxCells algorithm achieves high accuracy, aiding in more reliable thyroid malignancy diagnosis.

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