MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs

Author:

Cho KyungjinORCID,Kim JeeyoungORCID,Kim Ki DukORCID,Park SeungjuORCID,Kim JunsikORCID,Yun Jihye,Ahn YuraORCID,Oh Sang Young,Lee Sang MinORCID,Seo Joon BeomORCID,Kim NamkugORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference69 articles.

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2. A deep neural network for classification of thoracic diseases on chest radiography and covid-19 detection;Al Rubeaai,2021

3. Covid-19 detection via deep neural network and occlusion sensitivity maps;Aminu;Alex. Eng. J.,2021

4. Bandara, W.G.C., Patel, V.M., 2022. A transformer-based siamese network for change detection. In: IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. p. 207-210.

5. Deep-learning framework to detect lung abnormality–a study with chest X-Ray and lung CT scan images;Bhandary;Pattern Recognit. Lett.,2020

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