Results 1 to 10 of about 16,656 (113)

Deep Learning-Based Dental Caries Diagnosis: A Modality-Stratified Systematic Review and Meta-Analysis of Faster R-CNN and Mask R-CNN [PDF]

Diagnostics
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, Minh Huu Nhat Le, Fang-Yu Fan, Nguyen Quoc Khanh Le, I-Ta Lee   +4 more
doaj   +2 more sources

IA-Mask R-CNN: Improved Anchor Design Mask R-CNN for Surface Defect Detection of Automotive Engine Parts

Applied Sciences (Switzerland), 2022
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
exaly   +3 more sources

Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN

Sensors, 2022
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.
Hao Yang, Peixin Shi, Xiaojun Wei
exaly   +3 more sources

Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation

Sensors, 2020
With the rapid development of flexible vision sensors and visual sensor networks, computer vision tasks, such as object detection and tracking, are entering a new phase.
Lu Leng, Yiqing Zhang, Jun Miao
exaly   +3 more sources

Detection of Fractured Endodontic Instruments in Periapical Radiographs: A Comparative Study of YOLOv8 and Mask R-CNN [PDF]

Diagnostics
Background/Objectives: Accurate localization of fractured endodontic instruments (FEIs) in periapical radiographs (PAs) remains a significant challenge.
İrem Çetinkaya, Ekin Deniz Çatmabacak, Emir Öztürk   +2 more
doaj   +2 more sources

An Enhanced Mask R-CNN Approach for Pulmonary Embolism Detection and Segmentation [PDF]

Diagnostics
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, Turab Selçuk, Ahmet Alkan   +2 more
doaj   +2 more sources

Protein Crystal Instance Segmentation Based on Mask R-CNN

Crystals, 2021
Protein crystallization is the bottleneck in macromolecular crystallography, and crystal recognition is a very important step in the experiment. To improve the recognition accuracy by image classification algorithms further, the Mask R-CNN model is ...
Qisheng Wang, Bo Sun, Jiangping Qin
exaly   +3 more sources

Deep Learning-Based Segmentation of Peach Diseases Using Convolutional Neural Network

Frontiers in Plant Science, 2022
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, Na Yao, Na Yao, Fuchuan Ni, Fuchuan Ni, Minghao Wu, Minghao Wu, Haiyan Wang, Haiyan Wang, Guoliang Li, Guoliang Li, Wing-Kin Sung, Wing-Kin Sung   +12 more
doaj   +1 more source

Fish Segmentation in Sonar Images by Mask R-CNN on Feature Maps of Conditional Random Fields

Sensors, 2021
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, Yen-Po Wang, Shyi-Chyi Cheng   +2 more
doaj   +1 more source

Pear Recognition in an Orchard from 3D Stereo Camera Datasets to Develop a Fruit Picking Mechanism Using Mask R-CNN

Sensors, 2022
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