Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-019-01958-6
Abstract: PurposeReal-time surgical tool tracking is a core component of the future intelligent operating room (OR), because it is highly instrumental to analyze and understand the surgical activities. Current methods for surgical tool tracking in videos… read more here.
Keywords: presence; laparoscopic videos; tool; convolutional lstm ... See more keywords
Generalization of Convolutional LSTM Models for Crop Area Estimation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2973602
Abstract: The population growth and consequent global rise in food demand require increasingly efficient agricultural solutions, in what is commonly called digital agriculture. Among promising initiatives, the use of remotely sensed data combined with machine learning… read more here.
Keywords: convolutional lstm; crop; generalization convolutional; area ... See more keywords
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2932564
Abstract: Action recognition greatly benefits motion understanding in video analysis. Recurrent networks such as long short-term memory (LSTM) networks are a popular choice for motion-aware sequence learning tasks. Recently, a convolutional extension of LSTM was proposed,… read more here.
Keywords: convolutional lstm; based mechanism; lstm networks; lstm ... See more keywords
Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0269295
Abstract: Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced information on its concentration in the air can help to monitor and control further consequences more effectively, while also making it… read more here.
Keywords: convolutional lstm; bidirectional convolutional; nitrogen dioxide; city madrid ... See more keywords