To check if the findings can be used on other datasets, some experiments conducted on the OCT dataset which was published together with the Pneumonia dataset but included 108,309 OCT images. Extensive data augmentation techniques with more than 230 convolutional layers were used to train the deep model for CNV, DME, DRUSEN and Normal OCT image classification. @INPROCEEDINGS{8593514, author={M. {Carpentier} and P. {Giguère} and J. Dataset Mendeley Data offers the option to publish and share your supporting data files, which is often required by journals and funding agencies. Browse datasets List of features. Folgar, E. Yuan, J.A. See below for details on how it works. See below for details on how it works. You can create and edit a private draft dataset, but once published, it becomes a permanent unchanging public record. Mendeley Data has expanded coverage to more than 25 million datasets over 2000 data repositories, making researcher data even more findable and citable. Dataset of validated OCT and Chest X-Ray images described and analyzed in "Deep learning-based classification and referral of treatable human diseases". Several studies indicated how dietary patterns that were obtained from nutritional cluster analysis can predict disease risk or mortality. “It would be great if a folder structure would be applicable for datasets. O’Connell, F.A. Figure 2. I tried de 'Webpage'-option, but it does not seem to do the job. Mendeley Data Repository is free-to-use and open access. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010. Trish Wilgar October 20, 2020 Did You Know. In April 2016, Mendeley Data, a platform for sharing citable research datasets online, was promoted out of beta. This repository of images is made available for use in research only. For the non-computer science buffs amongst us, this means we describe our datasets in a structured way recognised by Google - which helps Google to index our datasets, and makes them more readily available in their search results.… By using Mendeley Data you can Search 24.4 million datasets from domain-specific and cross-domain repositories. A validation set Share and discover datasets Mendeley Data is a secure cloud-based repository where you can store your data, ensuring it is easy to share, access and cite, wherever you are. Mendeley Data Repository is free-to-use and open access. It enables you to deposit any research data (including raw and processed data, video, code, software, algorithms, protocols, and methods) associated with your research manuscript. A collection of datasets published on Mendeley Data that recognize researchers or research groups who make their research data available for additional research and do so in a way that exemplifies the FAIR data principles – Findable, Accessible, Interoperable, Reusable. Other systems: Mendeley Desktop for macOS Mendeley Desktop for Linux This dataset contains thousands of validated OCT and Chest X-Ray images described and analyzed in "Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning". Download Mendeley Desktop for Windows Windows 7, 8.1 and 10 (Version 1803) See release notes. Izatt, and C.A. Mendeley Data Repository is free-to-use and open access. Elsevier's data and code for the bioCADDIE 2016 Dataset Retrieval Challenge. It enables you to deposit any research data (including raw and processed data, video, code, software, algorithms, protocols, and methods) associated with your research manuscript. Mendeley Data Repository. Be sure to download the most recent version of this dataset to maintain accuracy. It enables you to deposit any research data (including raw and processed data, video, code, software, algorithms, protocols, and methods) associated with your research manuscript. Copyright © 2021 Mendeley Ltd. All rights reserved. Datasets published on Mendeley Data are available through the Datasets API. Other systems: Mendeley Desktop for macOS Mendeley Desktop for Linux “It would be great if a … Kermany D, Goldbaum M, Cai W et al. Mendeley Data Repository is free-to-use and open access. Thank you in advance! This dataset contains thousands of validated OCT and Chest X-Ray images described and analyzed in "Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning". Remove Rating Be the first to vote Report . Mendeley Data offers modular research data management and collaboration solutions for your university, offering a range of institutional packages which can be tailored to best suit your research data requirements. The new Mendeley Reference Manager has been built using researchers’ feedback to give you what you need to manage your references even more quickly and effectively. This dataset contains thousands of validated OCT and Chest X-Ray images described and analyzed in "Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning". Copyright © 2021 Mendeley Ltd. All rights reserved. Your datasets will also be searchable on Mendeley Data Search, which includes nearly 11 million indexed datasets. Mendeley Data is pleased to announce that we’ve adopted the new Google Science Datasets markup standard for datasets. Your datasets will also be searchable on Mendeley Data Search, which includes nearly 11 million indexed datasets. Datasets can be shared privately amongst individuals, as well as published to share with the world. Mendeley Data Repository is free-to-use and open access. You can create and edit a private draft dataset, but once published, it becomes a permanent unchanging public record. … Toth "Quantitative Classification of Eyes with and without Intermediate Age-related Macular Degeneration Using Optical Coherence Tomography", Datasets published on Mendeley Data are available through the Datasets API. OCT Images are labeled as (disease)- (randomized patient ID)- (image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL. How to cite this data: The images are split into a training set and a testing set of independent patients. Help us to improve Mendeley Data by telling us what we can do better. Download All (6704 MB) Approximately 30 million OCT scans are performed each year, and the analysis and interpretation of these images takes up a significant amount of time (Swanson and Fujimoto, 2017). It enables you to deposit any research data (including raw and processed data, video, code, software, algorithms, protocols, and methods) associated with your research manuscript. Figure 2. "Quantitative Classification of Eyes with and without Intermediate Age-related Macular Degeneration Using Optical Coherence Tomography", Ophthalmology, 121(1), 162-172 Jan. (2014). In October 2016, Mendeley Careers was launched to help researchers to locate job opportunities. Delegated institutional moderators are now able to review each dataset associated to the institution when it’s submitted for publishing, and either approve the dataset to go live, or return to the author with feedback. Retinal optical coherence tomography (OCT) is an imaging technique used to capture high-resolution cross sections of the retinas of living patients. Starting today, Mendeley Data is out of beta. From Table 12, it can be seen, the best result obtained from test 5. Individual SDOCT images and marking: 38400 BScans from 269 AMD patients and 115 normal subjects, their ages, and their corresponding segmentation boundaries on a 5mm diameter centered at the fovea. For Institutions: Ability to moderate datasets prior to go-live, so that data curators can maintain dataset quality. Your datasets will also be searchable on Mendeley Data Search, which includes nearly 11 million indexed datasets. Help us to improve Mendeley Data by telling us what we can do better. We have made available the world's largest online annotated SD-OCT dataset from 384 intermediate AMD and control subjects utilized in the following paper . The OCT Images are split into a training set and a testing set of independent patients. University of California San Diego, Guangzhou Women and Children's Medical Center, Applied Sciences, Medicine, Ophthalmology, Retina, Deep Learning. As of August 2019, Mendeley Careers offered 295k science and technology job opportunities. Benefits of sharing research data include complying with funder mandates, enabling reuse by other researchers, and increasing the reproducibility, transparency and trust of the original research. As Zotero lacks an "item type" for datasets, enter the citation in the system as a "Document," depending upon if/how the data producer provides a recommended citation; either: Export an RIS file and import this file into Zotero; Copy and paste the information from a recommended citation into a new Zotero item with the type "Document" If you haven’t heard of Mendeley Data before,… Upvote. Mendeley Data is a secure cloud-based repository where you can store your data, ensuring it is easy to share, cite and download free datasets, wherever you are. Unique DOIs and easy-to … Store your data in Mendeley Data. M, Cai W et al import your own folder structure would be applicable for datasets can better! Domain-Specific and cross-domain repositories: Kermany D, Goldbaum M, Cai W et al independent patients compliance with ’... Would be applicable for datasets analysis can predict disease risk or mortality by Image-Based Learning... Search 24.4 million datasets from domain-specific and cross-domain repositories announce mendeley oct dataset we ’ ve adopted the new Google Science markup... Risk or mortality publish and share their research Data Repository is free-to-use and open access: to. To help researchers to make their research Data files, alongside some metadata about the dataset correctly Mendeley... 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