Chest L-Transformer: Local Features With Position Attention for Weakly Supervised Chest Radiograph Segmentation and Classification

We consider the problem of weakly supervised segmentation on chest radiographs. The chest radiograph is the most common means of screening and diagnosing thoracic diseases. Weakly supervised deep learning models have gained increasing popularity in medical image segmentation. However, these models a...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Hong, Wang, Hongyu, Qin, Pan, Wang, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201450/
https://www.ncbi.nlm.nih.gov/pubmed/35721071
http://dx.doi.org/10.3389/fmed.2022.923456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201450/
https://www.ncbi.nlm.nih.gov/pubmed/35721071
http://dx.doi.org/10.3389/fmed.2022.923456

Ejemplares similares