Results 51 to 60 of about 14,783 (197)
Scientific Reports, 2023 Determining the severity of dental crowding and the necessity of tooth extraction for orthodontic treatment planning are time-consuming processes and there are no firm criteria. Thus, automated assistance would be useful to clinicians.
Jiho Ryu +3 more
doaj +1 more source
IEEE Access, 2021 Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cancer mortality. However, these figures can be reduced with early diagnosis through mammographic imaging, allowing for the timely and effective treatment ...
Andres Anaya-Isaza +5 more
doaj +1 more source
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification
, 2016 We propose a robust approach for performing automatic species-level recognition of fossil pollen grains in microscopy images that exploits both global shape and local texture characteristics in a patch-based matching methodology.
Fowlkes, Charless +2 more
core +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques
Diagnostics, 2023 Oral lesions are a prevalent manifestation of oral disease, and the timely identification of oral lesions is imperative for effective intervention. Fortunately, deep learning algorithms have shown great potential for automated lesion detection.
Md. Monirul Islam +4 more
doaj +1 more source
A Novel Framework for Robustness Analysis of Visual QA Models
, 2018 Deep neural networks have been playing an essential role in many computer vision tasks including Visual Question Answering (VQA). Until recently, the study of their accuracy was the main focus of research but now there is a trend toward assessing the ...
Alfadly, Modar +3 more
core +1 more source
Demand Estimation with Text and Image Data
The RAND Journal of Economics, EarlyView.ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani +2 more
wiley +1 more source
ELCVIA Electronic Letters on Computer Vision and Image AnalysisCrop disease is a significant problem in the agricultural sector, leading to decreased food production and causing substantial economic losses for farmers in farming regions.
Abubeker K M +3 more
doaj +2 more sources
Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
Sensors, 2020 Breast cancer is one of the major public health issues and is considered a leading cause of cancer-related deaths among women worldwide. Its early diagnosis can effectively help in increasing the chances of survival rate.
Zabit Hameed +4 more
doaj +1 more source
Identification of Rice Freshness Using Terahertz Imaging and Deep Learning
Photonics, 2023 Retention of rice freshness is highly dependent on storage temperature. Timely and accurate identification of rice freshness is critical to ensure food security. Here, we characterize the freshness of rice in reference to storage temperature.
Qian Wang +4 more
doaj +1 more source