CTG-Net: Cross-task guided network for breast ultrasound diagnosis

Deep learning techniques have achieved remarkable success in lesion segmentation and classification between benign and malignant tumors in breast ultrasound images. However, existing studies are predominantly focused on devising efficient neural network-based learning structures to tackle specific t...

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Veröffentlicht in:	PloS one 2022-08, Vol.17 (8), p.e0271106
Hauptverfasser:	Yang, Kaiwen, Suzuki, Aiga, Ye, Jiaxing, Nosato, Hirokazu, Izumori, Ayumi, Sakanashi, Hidenori
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention task Automation Biology and Life Sciences Breast - diagnostic imaging Breast cancer Breast Neoplasms - diagnostic imaging Care and treatment Classification Cognitive ability Cognitive tasks Datasets Deep learning Diagnosis Evaluation Exploitation Female Humans Image classification Image processing Image Processing, Computer-Assisted - methods Image segmentation Iterative methods Lesions Localization Machine learning Medical diagnosis Medical imaging Medical screening Medicine and Health Sciences Neural networks Neural Networks, Computer Pattern analysis Research and Analysis Methods Segmentation Social Sciences Tumors Ultrasonic imaging Ultrasonic testing Ultrasonography Ultrasonography, Mammary Ultrasound Ultrasound imaging
Online-Zugang:	Volltext
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