Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical …
Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …
improving the illumination of images taken under low-light conditions. Recently, a …
A Review of Biosensors and Artificial Intelligence in Healthcare and Their Clinical Significance
In the past decade, a substantial increase in medical data from various sources, including
wearable sensors, medical imaging, personal health records, and public health …
wearable sensors, medical imaging, personal health records, and public health …
[HTML][HTML] Swin transformer for fast MRI
Magnetic resonance imaging (MRI) is an important non-invasive clinical tool that can
produce high-resolution and reproducible images. However, a long scanning time is …
produce high-resolution and reproducible images. However, a long scanning time is …
[HTML][HTML] Artificial intelligence for visually impaired
J Wang, S Wang, Y Zhang - Displays, 2023 - Elsevier
The eyes are an essential tool for human observation and perception of the world, hel**
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
Hqg-net: Unpaired medical image enhancement with high-quality guidance
Unpaired medical image enhancement (UMIE) aims to transform a low-quality (LQ) medical
image into a high-quality (HQ) one without relying on paired images for training. While most …
image into a high-quality (HQ) one without relying on paired images for training. While most …
Artificial intelligence and biosensors in healthcare and its clinical relevance: A review
Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …
records, and public health organizations have resulted in a massive information increase in …
Rformer: Transformer-based generative adversarial network for real fundus image restoration on a new clinical benchmark
Ophthalmologists have used fundus images to screen and diagnose eye diseases.
However, different equipments and ophthalmologists pose large variations to the quality of …
However, different equipments and ophthalmologists pose large variations to the quality of …
Egdnet: an efficient glomerular detection network for multiple anomalous pathological feature in glomerulonephritis
Glomerulonephritis (GN) is a severe kidney disorder in which the tissues in the kidney
become inflamed and have problems filtering waste from the blood. Typical approaches for …
become inflamed and have problems filtering waste from the blood. Typical approaches for …
A review on Single Image Super Resolution techniques using generative adversarial network
K Singla, R Pandey, U Ghanekar - Optik, 2022 - Elsevier
Abstract Single Image Super Resolution (SISR) is a process to obtain a high pixel density
and refined details from a low resolution (LR) image to get upscaled and sharper high …
and refined details from a low resolution (LR) image to get upscaled and sharper high …
AI-assisted detection of biomarkers by sensors and biosensors for early diagnosis and monitoring
T Wasilewski, W Kamysz, J Gębicki - Biosensors, 2024 - pmc.ncbi.nlm.nih.gov
The steady progress in consumer electronics, together with improvement in microflow
techniques, nanotechnology, and data processing, has led to implementation of cost …
techniques, nanotechnology, and data processing, has led to implementation of cost …