Advancements in deep learning and computer vision provide promising solutions for medical image analysis, potentially improving healthcare and patient outcomes. However, the prevailing paradigm of training deep learning models requires large quantities o
Being one of the more sophisticated AI tasks, image captioning uses deep learning methods such as convolutional neural network and recurrent neural network, like the one we used for building our computer vision prototype for x-ray scanning. A sample from an x-ray images dataset with annotations...
* PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis* 链接: arxiv.org/abs/2208.0940* 作者: Mohammadreza Amirian,Javier A. Montoya-Zegarra,Jonathan Gruss,Yves D. Stebler,Ahmet Selman Bozkir,Marco Calandri,Friedhelm Schwenker,Thilo Stadelmann* 其他:...
In the general domain, it is relatively easy to collect text-image pairs from web images that are accompanied by contextual content or human-annotated captions, which don’t necessitate specialist knowledge for captioning [26]. New released multimodal dataset in general domain such as LAION-5B [...
www.nature.com/scientificdata OPEN A dataset for medical instructional Data Descriptor video classification and question answering Deepak Gupta, Kush Attal ✉ & Dina Demner-Fushman This paper introduces a new challenge and datasets to foster research toward designing systems...
[51] COVID-19 Lung COVID-19 X-ray database COVID19, Pneumonia and Normal Chest X-ray PA dataset Large-scale COVID19 dataset; pretrained ViT-B/32 model 97.6 MRI He et al. [21] Brain Age Brain BGSP, OASIS-3, NIH-PD, IXI ABIDE-I, DLBS, CMI, CoRR Image-level and patch-...
Auto-encoding and distilling scene graphs for image captioning IEEE Trans. Pattern Anal. Mach. Intell. (2020) Google Scholar [158] Li X.-H., Cao C.C., Shi Y., Bai W., Gao H., Qiu L., Wang C., Gao Y., Zhang S., Xue X., et al. A survey of data-driven and knowledge-...
* Real-World Image Super-Resolution by Exclusionary Dual-Learning* 链接: arxiv.org/abs/2206.0260* 作者: Hao Li,Jinghui Qin,Zhijing Yang,Pengxu Wei,Jinshan Pan,Liang Lin,Yukai Shi* 其他: IEEE TMM 2022; Considering large volume of RealSR datasets, a multi-dataset sampling scheme is developed...
Learning to Read Chest X-Rays:Recurrent Neural Cascade Model for Automated Image Annotation (CVPR 2016) Goals: -Learn to read chest x-rays from an existing dataset of images and text with minimal human effort -To generate text description about disease in image as well as their context (with...
A survey on deep learning in medical image analysis Med Image Anal, 42 (2017), pp. 60-88 View PDFView articleView in ScopusGoogle Scholar 5 O Vinyals, A Toshev, S Bengio, D Erhan Show and tell: lessons learned from the 2015 MSCOCO image captioning challenge IEEE Trans Pattern Anal Mac...