AA Gumbs, V Grasso, N Bourdel, R Croner… - Sensors, 2022 - mdpi.com
This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to …
The Integration of machine learning and traditional image processing in dentistry has resulted in many applications like automatic teeth identification and numbering, caries …
X Han, Z Hu, S Wang, Y Zhang - Journal of imaging, 2022 - mdpi.com
According to the World Health Organization statistics, as of 25 October 2022, there have been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
The incorporation of physical information in machine learning frameworks is opening and transforming many application domains. Here the learning process is augmented through …
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to transform various sectors. BC can offer decentralized and secure data storage, while CV …
M Kinoshita, D Ueda, T Matsumoto, H Shinkawa… - Cancers, 2023 - mdpi.com
Simple Summary Patients with postoperative early recurrence of hepatocellular carcinoma within 2 years are at high risk for poor prognosis, and identifying high-risk patients with …
Diabetic retinopathy (DR) is widely recognized as a leading cause of blindness among individuals with diabetes worldwide. Therefore, early diagnosis of DR plays a crucial role in …
Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial …
With the widespread use of distributed machine learning (DML), many IT companies have established networks dedicated to DML. Different communication architectures of DML have …