Journal Article10.1016/j.compbiomed.2022.105498
CADxReport: Chest x-ray report generation using co-attention mechanism and reinforcement learning
Navdeep Kaur,Ajay Mittal +1 more
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TL;DR: CADxReport as discussed by the authors is a coattention and reinforcement learning based technique for generating clinically accurate reports from chest x-ray (CXR) images, which uses VGG19 network pre-trained over ImageNet dataset and a multi-label classifier for extracting visual and semantic features from CXR images.
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About: This article is published in Computers in Biology and Medicine. The article was published on 01 Apr 2022. The article focuses on the topics: Medicine & Computer science.
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A survey on deep learning models for detection of COVID-19
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Youyuan Xue,Yun Tan,Ling Tan,Jiao Hua Qin,Xu Yu Xiang +4 more
TL;DR: Researchers propose an auxiliary signal guidance and memory-driven network (ASGMD) to automatically generate radiology reports, addressing visual and textual data bias, and achieving state-of-the-art performance on two public datasets, IU-Xray and MIMIC-CXR, with released code.
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An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms
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Advancements in Standardizing Radiological Reports: A Comprehensive Review
Filippo Pesapane,Priyan Tantrige,Paolo De Marco,Serena Carriero,Fabio Zugni,Luca Nicosia,Anna Bozzini,Anna Rotili,Antuono Latronico,Francesca Abbate,Daniela Origgi,Sonia Santicchia,Giuseppe Petralia,Gianpaolo Carrafiello,Enrico Cassano +14 more
TL;DR: This review paper explores the advantages and challenges of standardized reporting, and presents a set of ten essential rules for creating standardized radiology reports, emphasizing clarity, consistency, and adherence to structured formats.
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Weakly guided attention model with hierarchical interaction for brain CT report generation
Xiaodan Zhang,Sisi Yang,Yanzhao Shi,Junzhong Ji,Ying Liu,Zheng Wang,Huimin Xu +6 more
TL;DR: A novel Weakly Guided Attention Model with Hierarchical Interaction, named WGAM-HI, to improve Brain CT report generation is proposed, which conducts many-to-many matching for multiple visual images and semantic sentences via a hierarchical interaction framework with a two-layer attention model and aTwo-layer report generator.
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