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Big Self-Supervised Models Advance Medical Image …

WebOn dermatology condition classification, our self-supervised approach provides a sizable gain of 6.7% in top-1 accuracy, even in a highly competitive production setting. On chest …

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URL: https://openaccess.thecvf.com/content/ICCV2021/papers/Azizi_Big_Self-Supervised_Models_Advance_Medical_Image_Classification_ICCV_2021_paper.pdf

CVPR 2023 Open Access Repository

WebThese CVPR 2023 papers are the Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the …

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Forecasting Irreversible Disease via Progression Learning

WebGlobal prevalence of myopia and high myopia and temporal trends from 2000 through 2050. Ophthalmology, 123(5):1036–1042, 2016. [12] Martha Kim et al. Longitudinal changes of …

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Ambiguous Medical Image Segmentation Using Diffusion …

WebIn this paper, we propose the. CIMD (Collectivly Intelligent Medical Diffusion), which addresses ambiguous segmentation tasks of medical imag-ing. First, we introduce a …

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Human Stools Classification for Gastrointestinal Health Based …

WebHuman Stools Classification for Gastrointestinal Health based on an Improved ResNet18 Model with Dual Attention Mechanism Jing Zhang, Tao Wen, Tao He, Xiangzhou Wang, …

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Vision-based Action Understanding for Assistive Healthcare: A …

WebThe primary goal of this paper is to present a survey on advanced assistive healthcare and reha-bilitation research to automate the medical system so that the exercise pattern and …

Category:  Medical Go Health

Pre-training on Grayscale ImageNet Improves Medical Image …

WebWe show that transferring ImageNet data to a single-channel (i.e., grayscale) domain leads to better pre-trained models that (1) achieve higher classification accuracy after being …

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CookGAN: Meal Image Synthesis from Ingredients

WebGenerative neural networks (GAN) GAN is a popular type of generative model for image synthesis [7]. It learns to model the distribution of real images via a combination of two …

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Causal Hidden Markov Model for Time Series Disease …

WebWe propose a causal Hidden Markov Model for fore- casting the disease at the future stage, given data up to the current stage. To enable OOD generalization on med- ical data that …

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ChestX-ray8: Hospital-scale Chest X-ray Database and …

Webnewly proposed chest X-ray database is at least one order of magnitude larger than OpenI [1] (Refer to Table 1). To achieve the better clinical relevance, we focus to exploit

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CVPR 2021 Open Access Repository

WebRemote photoplethysmography (rPPG) based physiological measurement has great application values in health monitoring, emotion analysis, etc. Existing methods mainly …

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Computer Vision-based Assistance System for the Visually …

WebComputer Vision-based Assistance System for the Visually Impaired Using Mobile Edge Artificial Intelligence Jagadish K. Mahendran1 Daniel T. Barry2 Anita K. Nivedha3 …

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A Multimodal Approach to Mapping Soundscapes

WebFigure 1. We propose a multimodal approach for relating overhead image appearance with sounds in order to map soundscapes. (left) Overhead image; (right) Similar ground-level …

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Eff-UNet: A Novel Architecture for Semantic Segmentation in

WebUNet is a symmetric U shaped fully convolutional neural network originally developed for biomedical image segmentation [20]. UNet has two paths. The first path is contraction …

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Detecting Roads from Satellite Imagery in the Developing World

WebHigh-resolution satellite imagery is a valuable source of data for detecting and mapping features such as roads and building footprints. Moreover, the frequent revisits of satel …

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WSISA: Making Survival Prediction from Whole Slide …

WebImage-based precision medicine techniques can be used to better treat cancer patients. However, the gigapixel res-olution of Whole Slide Histopathological Images (WSIs) …

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CVPR 2022 Open Access Repository

Web@InProceedings{Beery_2022_CVPR, author = {Beery, Sara and Wu, Guanhang and Edwards, Trevor and Pavetic, Filip and Majewski, Bo and Mukherjee, Shreyasee and …

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Multi-modal Learning with Missing Modality via Shared …

WebIn this paper, we propose a multi-model learning with missing modality approach, called Shared-Specific Feature Modelling (ShaSpec), which can handle missing modali-ties in …

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Spatial-Frequency Mutual Learning for Face Super-Resolution

WebConclusion. In this paper, we develop a spatial-frequency mutual net-work (SFMNet) for face super-resolution, which is the first work to explore the interaction between spatial domain …

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Pre-Trained Image Processing Transformer

WebIn this paper, we study the low-level computer vision task (e.g., denoising, super-resolution and deraining) and develop a new pre-trained model, namely, image processing trans …

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