Improving radiology report generation with multi-grained abnormality prediction
Conventional data-driven approaches for radiology report generation face a problem that
the descriptions of the normal regions in the real data are much more than the that for …
the descriptions of the normal regions in the real data are much more than the that for …
Medical report generation through radiology images: an Overview
G Ramirez-Alonso, O Prieto-Ordaz… - IEEE Latin America …, 2022 - ieeexplore.ieee.org
The interpretation of medical images is a fundamental process for the diagnosis and
treatment of patients. This process contributes determining the causes of symptoms as well …
treatment of patients. This process contributes determining the causes of symptoms as well …
CGFTrans: Cross-Modal Global Feature Fusion Transformer for Medical Report Generation
L Xu, Q Tang, B Zheng, J Lv, W Li… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Medical report generation, as a cross-modal automatic text generation task, can be highly
significant both in research and clinical fields. The core is to generate diagnosis reports in …
significant both in research and clinical fields. The core is to generate diagnosis reports in …
When deep learning is not enough: artificial life as a supplementary tool for segmentation of ultrasound images of breast cancer
N Karunanayake, SS Makhanov - Medical & Biological Engineering & …, 2024 - Springer
Segmentation of tumors in ultrasound (US) images of the breast is a critical issue in medical
imaging. Due to the poor quality of US images and the varying specifications of US …
imaging. Due to the poor quality of US images and the varying specifications of US …
Breast ultrasound report generation using LangChain
Breast ultrasound (BUS) is a critical diagnostic tool in the field of breast imaging, aiding in
the early detection and characterization of breast abnormalities. Interpreting breast …
the early detection and characterization of breast abnormalities. Interpreting breast …
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
X Wang, G Figueredo, R Li, WE Zhang, W Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic radiology report generation can alleviate the workload for physicians and
minimize regional disparities in medical resources, therefore becoming an important topic in …
minimize regional disparities in medical resources, therefore becoming an important topic in …
A survey on deep learning in medical ultrasound imaging
K Song, J Feng, D Chen - Frontiers in Physics, 2024 - frontiersin.org
Ultrasound imaging has a history of several decades. With its non-invasive, low-cost
advantages, this technology has been widely used in medicine and there have been many …
advantages, this technology has been widely used in medicine and there have been many …
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
We present the first automated multimodal summary generation system, MMSummary, for
medical imaging video, particularly with a focus on fetal ultrasound analysis. Imitating the …
medical imaging video, particularly with a focus on fetal ultrasound analysis. Imitating the …
A Visualization Method of Knowledge Graphs for the Computation and Comprehension of Ultrasound Reports
Knowledge graph visualization in ultrasound reports is essential for enhancing medical
decision making and the efficiency and accuracy of computer-aided analysis tools. This …
decision making and the efficiency and accuracy of computer-aided analysis tools. This …
[HTML][HTML] 面向医学影像报告生成的门归一化编解码网络
谭立玮， 张淑军， 韩琪， 郭淇， 王鸿雁 - 智能系统学报, 2023 - html.rhhz.net
医学影像报告的自动生成可以减轻医生的工作强度, 减少误诊或漏诊的情况发生.
由于医学影像的独特性, 通常病灶比较小, 与正常区域灰度差异难以分辨, 导致文本生成时关键词 …
由于医学影像的独特性, 通常病灶比较小, 与正常区域灰度差异难以分辨, 导致文本生成时关键词 …