| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Mathieu F Bilodeau, Travis J Esau, Qamar U Zaman, Brandon Heung, Aitazaz A Farooqu. Enhancing surface drainage mapping in eastern Canada with deep learning applied to LiDAR-derived elevation data. Scientific reports. vol 14. issue 1. 2024-05-01. PMID:38693219. |
in recent years, deep learning (dl) techniques, including convolutional neural networks and mask r-cnn, have shown promising results in object recognition, image classification, and segmentation tasks. |
2024-05-01 |
2024-05-04 |
Not clear |
| Zaid Mustafa, Heba Nsou. Using Computer Vision Techniques to Automatically Detect Abnormalities in Chest X-rays. Diagnostics (Basel, Switzerland). vol 13. issue 18. 2023-09-28. PMID:37761345. |
to achieve this, we analysed a vast collection of x-ray images and utilised sophisticated visual analysis techniques; such as deep learning (dl) algorithms, object recognition, and categorisation models. |
2023-09-28 |
2023-10-07 |
Not clear |
| Rong Ding, Jiawei Luo, Chenghui Wang, Lianhui Yu, Jiangkai Yang, Meng Wang, Shihong Zhong, Rui G. Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning. Plant methods. vol 19. issue 1. 2023-04-03. PMID:37005675. |
recently, unmanned aerial vehicle (uav) remote sensing and deep learning (dl) have provided ultrahigh-resolution imagery and high-accuracy object recognition techniques, respectively, providing an excellent opportunity to improve the current manual surveying of plants. |
2023-04-03 |
2023-08-14 |
Not clear |
| Byongsu Choi, Sven Olberg, Justin C Park, Jin Sung Kim, Deepak K Shrestha, Shridhar Yaddanapudi, Keith M Furutani, Chris J Beltra. Progressive deep learning: an accelerated training strategy for medical image segmentation. Medical physics. 2023-02-10. PMID:36763566. |
recent advancements in deep learning (dl) methodologies have led to state-of-the-art performance in a wide range of applications especially in object recognition, classification, and segmentation of medical images. |
2023-02-10 |
2023-08-14 |
Not clear |
| Ravichandra Madanu, Farhan Rahman, Maysam F Abbod, Shou-Zen Fan, Jiann-Shing Shie. Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition. Mathematical biosciences and engineering : MBE. vol 18. issue 5. 2021-09-22. PMID:34517477. |
one of the dl algorithms is convolutional neural network (cnn) which is very popular algorithm for object recognition and is widely growing its applications in processing hierarchy in the human visual system. |
2021-09-22 |
2023-08-13 |
human |
| Daniela O Medley, Carlos Santiago, Jacinto C Nasciment. Deep Active Shape Model for Robust Object Fitting. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2019-10-31. PMID:31670673. |
object recognition and localization is still a very challenging problem, despite recent advances in deep learning (dl) approaches, especially for objects with varying shapes and appearances. |
2019-10-31 |
2023-08-13 |
Not clear |
| J Bachevalier, M Mishki. Visual recognition impairment follows ventromedial but not dorsolateral prefrontal lesions in monkeys. Behavioural brain research. vol 20. issue 3. 1986-10-08. PMID:3741586. |
group vm was severely impaired on a test of object recognition, whereas group dl did not differ appreciably from normal animals. |
1986-10-08 |
2023-08-11 |
monkey |