Deep Learning-Based Dental Caries Diagnosis: A Modality-Stratified Systematic Review and Meta-Analysis of Faster R-CNN and Mask R-CNN [PDF]
Background: Deep convolutional neural networks (DCNNs) are increasingly used in computer-aided dental diagnostics. However, the relative diagnostic performance of commonly applied architectures, particularly Faster R-CNN and Mask R-CNN, has not been ...
Quang Tuan Lam +4 more
doaj +2 more sources
Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN [PDF]
The intelligent crack detection method is an important guarantee for the realization of intelligent operation and maintenance, and it is of great significance to traffic safety.
Xiangyang Xu +6 more
doaj +3 more sources
Detection of Fractured Endodontic Instruments in Periapical Radiographs: A Comparative Study of YOLOv8 and Mask R-CNN [PDF]
Background/Objectives: Accurate localization of fractured endodontic instruments (FEIs) in periapical radiographs (PAs) remains a significant challenge.
İrem Çetinkaya +2 more
doaj +2 more sources
An Enhanced Mask R-CNN Approach for Pulmonary Embolism Detection and Segmentation [PDF]
Pulmonary embolism (PE) refers to the occlusion of pulmonary arteries by blood clots, posing a mortality risk of approximately 30%. The detection of pulmonary embolism within segmental arteries presents greater challenges compared with larger arteries ...
Kâmil Doğan +2 more
doaj +2 more sources
The detection of surface defects on automotive engine parts is an important part of automobile manufacturing quality assurance. The traditional detection methods rely on manual inspection and can be inaccurate and inefficient, while the existing deep ...
Haijiang Zhu, Yinchu Wang, Jiawei Fan
doaj +2 more sources
Mask R-CNN provides efficient and accurate measurement of chondrocyte viability in the label-free assessment of articular cartilage [PDF]
Objective: Chondrocyte viability (CV) can be measured with the label-free method using second harmonic generation (SHG) and two-photon excitation autofluorescence (TPAF) imaging.
Hongming Fan +11 more
doaj +2 more sources
Mask R-CNN-Oriented Pottery Display and Identification System. [PDF]
Traditional pottery identification methods are time consuming and costly. In order to cater to more pottery industry needs, we propose a Mask R-CNN-based pottery identification method to build an automatic pottery identification system. We first improve the loss function of Mask R-CNN by using generalized intersection over union loss function, through ...
Wei C.
europepmc +3 more sources
Deep Learning-Based Segmentation of Peach Diseases Using Convolutional Neural Network
Peach diseases seriously affect peach yield and people’s health. The precise identification of peach diseases and the segmentation of the diseased areas can provide the basis for disease control and treatment.
Na Yao +12 more
doaj +1 more source
Fish Segmentation in Sonar Images by Mask R-CNN on Feature Maps of Conditional Random Fields
Imaging sonar systems are widely used for monitoring fish behavior in turbid or low ambient light waters. For analyzing fish behavior in sonar images, fish segmentation is often required.
Chin-Chun Chang +2 more
doaj +1 more source
In orchard fruit picking systems for pears, the challenge is to identify the full shape of the soft fruit to avoid injuries while using robotic or automatic picking systems.
Siyu Pan, Tofael Ahamed
doaj +1 more source

