Medical image super-resolution for smart healthcare applications: A comprehensive survey
The digital transformation in healthcare, propelled by the integration of deep learning
models and the Internet of Things (IoT), is creating unprecedented opportunities for …
models and the Internet of Things (IoT), is creating unprecedented opportunities for …
The advances in computer vision that are enabling more autonomous actions in surgery: a systematic review of the literature
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 …
how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to …
[HTML][HTML] A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis
The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …
resulted in many applications like automatic teeth identification and numbering, caries …
A survey on deep learning in COVID-19 diagnosis
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 …
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
Physics-informed computer vision: A review and perspectives
The incorporation of physical information in machine learning frameworks is opening and
transforming many application domains. Here the learning process is augmented through …
transforming many application domains. Here the learning process is augmented through …
A comprehensive analysis of blockchain applications for securing computer vision systems
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 …
transform various sectors. BC can offer decentralized and secure data storage, while CV …
Deep learning model based on contrast-enhanced computed tomography imaging to predict postoperative early recurrence after the curative resection of a solitary …
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 …
within 2 years are at high risk for poor prognosis, and identifying high-risk patients with …
Diabetic retinopathy grading review: Current techniques and future directions
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 …
individuals with diabetes worldwide. Therefore, early diagnosis of DR plays a crucial role in …
Integrated generative adversarial networks and deep convolutional neural networks for image data classification: A case study for covid-19
Convolutional Neural Networks (CNNs) have garnered significant utilisation within
automated image classification systems. CNNs possess the ability to leverage the spatial …
automated image classification systems. CNNs possess the ability to leverage the spatial …
Topologies in distributed machine learning: Comprehensive survey, recommendations and future directions
With the widespread use of distributed machine learning (DML), many IT companies have
established networks dedicated to DML. Different communication architectures of DML have …
established networks dedicated to DML. Different communication architectures of DML have …