[HTML][HTML] A review of deep learning-based detection methods for COVID-19
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stop** the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …
Deep learning for automatic image segmentation in stomatology and its clinical application
D Luo, W Zeng, J Chen, W Tang - Frontiers in Medical Technology, 2021 - frontiersin.org
Deep learning has become an active research topic in the field of medical image analysis. In
particular, for the automatic segmentation of stomatological images, great advances have …
particular, for the automatic segmentation of stomatological images, great advances have …
A deep learning model for detection and tracking in high-throughput images of organoid
Organoid, an in vitro 3D culture, has extremely high similarity with its source organ or tissue,
which creates a model in vitro that simulates the in vivo environment. Organoids have been …
which creates a model in vitro that simulates the in vivo environment. Organoids have been …
Application of deep learning in teeth identification tasks on panoramic radiographs
Objectives: To investigate the current developments of Artificial Intelligence (AI) in teeth
identification on Panoramic Radiographs (PR). Our aim was to evaluate and compare the …
identification on Panoramic Radiographs (PR). Our aim was to evaluate and compare the …
Comprehensive review of machine learning (ML) in image defogging: Taxonomy of concepts, scenes, feature extraction, and classification techniques
Images captured through a visual sensory system are degraded in a foggy scene, which
negatively influences recognition, tracking, and detection of targets. Efficient tools are …
negatively influences recognition, tracking, and detection of targets. Efficient tools are …
[HTML][HTML] Trainable WEKA (Waikato Environment for Knowledge Analysis) segmentation tool: machine-learning-enabled segmentation on features of panoramic …
N Kanuri, AZ Abdelkarim, SA Rathore - Cureus, 2022 - ncbi.nlm.nih.gov
Introduction: Segmentation of dental radiographs is a comprehensive subject in oral care
and diagnosis. It is the process of delineating anatomical structures to simplify the diagnostic …
and diagnosis. It is the process of delineating anatomical structures to simplify the diagnostic …
A robust framework for epidemic analysis, prediction and detection of COVID-19
Covid-19 has become a pandemic that affects lots of individuals daily, worldwide, and,
particularly, the widespread disruption in numerous countries, namely, the US, Italy, India …
particularly, the widespread disruption in numerous countries, namely, the US, Italy, India …
The local ternary pattern encoder–decoder neural network for dental image segmentation
Recent advances in medical imaging analyses, especially the use of deep learning, are
hel** to identify, detect, classify, and quantify patterns in radiographs. At the centre of …
hel** to identify, detect, classify, and quantify patterns in radiographs. At the centre of …
FreeEnricher: enriching face landmarks without additional cost
Recent years have witnessed significant growth of face alignment. Though dense facial
landmark is highly demanded in various scenarios, eg, cosmetic medicine and facial …
landmark is highly demanded in various scenarios, eg, cosmetic medicine and facial …
Geometric analysis and YOLO algorithm for automatic face detection system in a security setting
Face detection is a computer technology that determines the location and size of the human
face in an arbitrary digital image employed for authentication. Face recognition technology …
face in an arbitrary digital image employed for authentication. Face recognition technology …