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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Chest CT: automated nodule detection and assessment of change over time--preliminary experience
1Department of Radiology, Massachusetts General Hospital, Boston, USA. jsne.ko@med.nyu.edu
Radiology
|January 12, 2001
Abstract:
The authors developed a computer system that automatically identifies nodules at chest computed tomography, quantifies their diameter, and assesses for change in size at follow-up. The automated nodule detection system identified 318 (86%) of 370 nodules in 16 studies (eight initial and eight follow-up studies) obtained in eight oncology patients with known nodules. Assessment of change in nodule size by the computer matched that by the thoracic radiologist (Spearman rank correlation coefficient, 0.932).

