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Updated: Jun 25, 2026

04:23
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
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.
Failed At:
2026-06-19T13:36:16.246912+00:00
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