An Artificial Intelligence Multiprocessing Scheme for the Diagnosis of Osteosarcoma MRI Images
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DOI: 10.1109/jbhi.2022.3184930
Abstract: Osteosarcoma is the most common malignant osteosarcoma, and most developing countries face great challenges in the diagnosis due to the lack of medical resources. Magnetic resonance imaging (MRI) has always been an important tool for… read more here.
Keywords: osteosarcoma; diagnosis; mri images; artificial intelligence ... See more keywords
Intelligent Assistant Diagnosis System of Osteosarcoma MRI Image Based on Transformer and Convolution in Developing Countries
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DOI: 10.1109/jbhi.2022.3196043
Abstract: Osteosarcoma is a malignant bone tumor commonly found in adolescents or children, with high incidence and poor prognosis. Magnetic resonance imaging (MRI), which is the more common diagnostic method for osteosarcoma, has a very large… read more here.
Keywords: mri; osteosarcoma mri; image; transformer convolution ... See more keywords
BA-GCA Net: Boundary-Aware Grid Contextual Attention Net in Osteosarcoma MRI Image Segmentation
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DOI: 10.1155/2022/3881833
Abstract: Osteosarcoma is one of the most common bone tumors that occurs in adolescents. Doctors often use magnetic resonance imaging (MRI) through biosensors to diagnose and predict osteosarcoma. However, a number of osteosarcoma MRI images have… read more here.
Keywords: osteosarcoma; contextual attention; segmentation; mri ... See more keywords
Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9990092
Abstract: One of the most prevalent malignant bone tumors is osteosarcoma. The diagnosis and treatment cycle are long and the prognosis is poor. It takes a lot of time to manually identify osteosarcoma from osteosarcoma magnetic… read more here.
Keywords: mri image; segmentation method; segmentation; based transformer ... See more keywords