CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images

Thyroid nodule (TYN) is a life-threatening disease that is commonly observed among adults globally. The applications of deep learning in computer-aided diagnosis systems (CADs) for diagnosing thyroid nodules have attracted attention among clinical professionals due to their significantly potential r...

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Veröffentlicht in:	Cognitive computation 2024-05, Vol.16 (3), p.1176-1197
Hauptverfasser:	Ali, Haider, Wang, Mingzhao, Xie, Juanying
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Cancer Computation by Abstract Devices Computational Biology/Bioinformatics Computer Science Context Datasets Deep learning Encoders-Decoders Feature extraction Feature maps Heterostructures Image segmentation Machine learning Neural networks Nodules Thyroid gland Ultrasonic imaging
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