Cargando…
An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures
BACKGROUND: Computer-aided diagnosis (CAD) in the medical field has received more and more attention in recent years. One important CAD application is to detect and classify breast lesions in ultrasound images. Traditionally, the process of CAD for breast lesions classification is mainly composed of...
Autores principales: | Cao, Zhantao, Duan, Lixin, Yang, Guowu, Yue, Ting, Chen, Qin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604293/ https://www.ncbi.nlm.nih.gov/pubmed/31262255 http://dx.doi.org/10.1186/s12880-019-0349-x |
Ejemplares similares
-
Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning
por: Ryu, Hwaseong, et al.
Publicado: (2021) -
BUSnet: A Deep Learning Model of Breast Tumor Lesion Detection for Ultrasound Images
por: Li, Yujie, et al.
Publicado: (2022) -
A Novel Deep-Learning-Based CADx Architecture for Classification of Thyroid Nodules Using Ultrasound Images
por: Göreke, Volkan
Publicado: (2023) -
Information set supported deep learning architectures for improving noisy image classification
por: Bhardwaj, Saurabh, et al.
Publicado: (2023) -
Deep learning model improves radiologists’ performance in detection and classification of breast lesions
por: Sun, Yingshi, et al.
Publicado: (2021)