Other names: cubdl
Deep Learning for Ultrasound Image Formation. Ultrasound Beamforming with Deep Learning (CUBDL): Evaluation Framework and Open Datasets
echography
We aim to establish a reliable diagnostic tool based on a deep-learning framework for the screening of patients who present with COVID-19 related abnormalities on chest x-rays.
The early pregnancy ontology contains the concepts to describe ectopic pregnancy ultrasound images, organized into several subsumption hierarchies for types of ectopic pregnancies and the signs, anato ...
DESSO is a deep learning-based framework that can be used to accurately identify both sequence and shape regulatory motifs from the human genome.
Model Zoo curates and provides a platform for deep learning researchers to easily find pre-trained models for a variety of platforms and uses.
An End-to-End Deep Learning-Based Workflow for Biomedical Knowledge Graph Extraction, Optimization and Applications.
Fusion gene annotation updates aided by deep learning.
The aim is to explore the use of both face-to-face and online methods (blended learning) for the training of primary care doctors in COPD in Bangladesh.
lumbar multifidus muscle segmentation from ultrasound images. LUMINOUS Database: Lumbar MUltifidus Muscle SegmentatIoN FrOm UltraSound.
Deep Carbon Observatory Digital Object Registry (DCO-VIVO), is a centrally-managed digital object identification, object registration and metadata management service for the Deep Carbon Observatory. D ...
Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning | Core code for the DeepHF prediction tool | SpCas9 & Base Editor Efficiency Prediction | This tool provides guid ...
PAI-WSIT (Pathologists Annotated and AI-empowered Whole-Slide Image Database for Tumors) is a comprehensive curated resource for cancerous pathology with deep learning. PAI-WSIT allows you to store yo ...
Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish ...
The Open Machine Learning project is an inclusive movement to build an open, organized, online ecosystem for machine learning. We build open source tools to discover (and share) open data from any dom ...
Echocardiography, or cardiac ultrasound, is the most widely used and readily available imaging modality to assess cardiac function and structure. Combining portable instrumentation, rapid image acquis ...
a set of metadata to record transformative machine learning experiments with LINCS dataset
Statistics on learners in post-16 education and training, excluding those at schools but including those at Further Education Institutions, other Work-based Learning providers and Community Learning p ...
Database for human scaffold proteins.
The Bremen Core Repository - BCR, for International Ocean Discovery Program (IODP), Integrated Ocean Discovery Program (IODP), Ocean Drilling Program (ODP), and Deep Sea Drilling Project (DSDP) cores ...
The machine learning methodology taxonomy mapping project is focused on gathering the terminology focused on machine learning and mapping the controlled and users' natural language to form a mapping f ...