Machine Learning for Mask Synthesis | SpringerLink
Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets | PLOS ONE
arXiv:2009.08369v2 [cs.CV] 20 Oct 2020
Detecting Face Masks with Machine Learning | Whitepaper | ACL Digital
Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread - ScienceDirect
Applied Sciences | Free Full-Text | Automated Multiple Concrete Damage Detection Using Instance Segmentation Deep Learning Model
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J. Imaging | Free Full-Text | Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification
Few-click segmentation mask labeling in Amazon SageMaker Ground Truth Plus | AWS Machine Learning Blog
Machine Learning Mask Removal - YouTube
Making a Mask Identifier: Machine Learning in PictoBlox - STEMpedia
COVID-19: Face Mask Detector with OpenCV, Keras/TensorFlow, and Deep Learning - PyImageSearch
Mask Region based Convolution Neural Networks - EXPLAINED! - YouTube
New machine-learning simulations reduce energy need for mask fabrics, other materials | Argonne National Laboratory
ARM Research Facility
VLSI mask optimization: From shallow to deep learning - ScienceDirect
Biodegradable Smart Face Masks for Machine Learning-Assisted Chronic Respiratory Disease Diagnosis | ACS Sensors
Benchmarking Machine Learning Performance at Dell Technologies | Dell Chinese
How Artificial Intelligence Is Helping Prevent the Spread of the COVID-19 Pandemic – Swiss German University
Real-time Extraction of Objects from Any Background Using Machine Learning | NTT Technical Review
Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials | npj 2D Materials and Applications
Detect Mask Wearing with Twilio Video, Serverless, and ml5.js
Developing Deep Learning Facemask Detector | Voltrium Systems
MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams | PLOS ONE