Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Background Recent advances in deep learning techniques have led to improved diagnostic
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning
Despite the rapid increase of data available to train machine-learning algorithms in many
domains, several applications suffer from a paucity of representative and diverse data. The …
domains, several applications suffer from a paucity of representative and diverse data. The …
Pose2Sim: An end-to-end workflow for 3D markerless sports kinematics—Part 1: Robustness
Being able to capture relevant information about elite athletes' movement “in the wild” is
challenging, especially because reference marker-based approaches hinder natural …
challenging, especially because reference marker-based approaches hinder natural …
[HTML][HTML] PSegNet: Simultaneous semantic and instance segmentation for point clouds of plants
D Li, J Li, S Xiang, A Pan - Plant Phenomics, 2022 - spj.science.org
Phenotyping of plant growth improves the understanding of complex genetic traits and
eventually expedites the development of modern breeding and intelligent agriculture. In …
eventually expedites the development of modern breeding and intelligent agriculture. In …
Dual-YOLO architecture from infrared and visible images for object detection
With the development of infrared detection technology and the improvement of military
remote sensing needs, infrared object detection networks with low false alarms and high …
remote sensing needs, infrared object detection networks with low false alarms and high …
Overview of spiking neural network learning approaches and their computational complexities
Spiking neural networks (SNNs) are subjects of a topic that is gaining more and more
interest nowadays. They more closely resemble actual neural networks in the brain than …
interest nowadays. They more closely resemble actual neural networks in the brain than …
[HTML][HTML] Roadmap to neuromorphic computing with emerging technologies
The growing adoption of data-driven applications, such as artificial intelligence (AI), is
transforming the way we interact with technology. Currently, the deployment of AI and …
transforming the way we interact with technology. Currently, the deployment of AI and …
[HTML][HTML] Updated primer on generative artificial intelligence and large language models in medical imaging for medical professionals
Abstract The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot
developed by OpenAI, has garnered interest in the application of generative artificial …
developed by OpenAI, has garnered interest in the application of generative artificial …
MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images
J Chi, S Zhang, X Han, H Wang, C Wu, X Yu - Signal Processing: Image …, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) has spread globally since the first case was
reported in December 2019, becoming a world-wide existential health crisis with over 90 …
reported in December 2019, becoming a world-wide existential health crisis with over 90 …
An application of stereo matching algorithm based on transfer learning on robots in multiple scenes
Y Bi, C Li, X Tong, G Wang, H Sun - Scientific Reports, 2023 - nature.com
Robot vision technology based on binocular vision holds tremendous potential for
development in various fields, including 3D scene reconstruction, target detection, and …
development in various fields, including 3D scene reconstruction, target detection, and …