Deep learning‐based semantic segmentation of interphase cells and debris from metaphase images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22741
Abstract: Segmentation plays an essential role in the design of the automated karyotyping system (AKS). It is pivotal to segment interphase cells and other debris usually found in the input G metaphase images. The performance of… read more here.
Keywords: metaphase images; segmentation; interphase cells; cells debris ... See more keywords
Automatic semantic segmentation for dental restorations in panoramic radiography images using U‐Net model
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22803
Abstract: The automated segmentation of dental restorations is a critical step in diagnosing dental problems and suggesting the best treatment. Some restorations may be missed during a dental examination, depending on the number of patients, the… read more here.
Keywords: automatic semantic; dental restorations; segmentation dental; model ... See more keywords
Multiscale segmentation‐ and error‐guided iterative convolutional neural network for cerebral neuron segmentation in microscopic images
Sign Up to like & getrecommendations! Published in 2022 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.24206
Abstract: This article uses microscopy images obtained from diverse anatomical regions of macaque brain for neuron semantic segmentation. The complex structure of brain, the large intra‐class staining intensity difference within neuron class, the small inter‐class staining… read more here.
Keywords: anatomical regions; staining intensity; class; segmentation ... See more keywords
Semantic segmentation of retinal exudates using a residual encoder-decoder architecture in diabetic retinopathy.
Sign Up to like & getrecommendations! Published in 2023 at "Microscopy research and technique"
DOI: 10.1002/jemt.24345
Abstract: Exudates are a common sign of diabetic retinopathy, which is a disease that affects the blood vessels in the retina. Early detection of exudates is critical to avoiding vision problems through continuous screening and treatment.… read more here.
Keywords: network; using residual; detection; diabetic retinopathy ... See more keywords
Semantic segmentation-based parking space detection with standalone around view monitoring system
Sign Up to like & getrecommendations! Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0986-z
Abstract: An auto-parking system is one of the promising technologies to reduce accidents and enhance driver convenience in parking lots. To accomplish collision-free parking, precise and robust parking space detection is required. However, harsh conditions such… read more here.
Keywords: detection; system; parking space; semantic segmentation ... See more keywords
Efficient use of recent progresses for Real-time Semantic segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01095-0
Abstract: Different approaches were proposed to design deep CNNs for semantic segmentation. Usually, they are built upon an encoder–decoder architecture and require computationally expensive operations on high-resolution activation maps. Since for real-time segmentation the costs are… read more here.
Keywords: efficient use; real time; usepackage; segmentation ... See more keywords
Deep-recursive residual network for image semantic segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04738-5
Abstract: A good semantic segmentation method for visual scene understanding should consider both accuracy and efficiency. However, the existing networks tend to concentrate only on segmentation results but not on simplifying the network. As a result,… read more here.
Keywords: network; recursive residual; deep recursive; segmentation ... See more keywords
Deep Semantic Segmentation of Kidney and Space-Occupying Lesion Area Based on SCNN and ResNet Models Combined with SIFT-Flow Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-1116-1
Abstract: Renal segmentation is one of the most fundamental and challenging task in computer aided diagnosis systems. In order to overcome the shortcomings of automatic kidney segmentation based on deep network for abdominal CT images, a… read more here.
Keywords: image; segmentation; kidney space; area ... See more keywords
Semantic segmentation using reinforced fully convolutional densenet with multiscale kernel
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7430-x
Abstract: In recent years, semantic segmentation has become one of the most active tasks of the computer vision field. Its goal is to group image pixels into semantically meaningful regions. Deep learning methods, in particular those… read more here.
Keywords: dense block; segmentation; semantic segmentation; using reinforced ... See more keywords
A survey on indoor RGB-D semantic segmentation: from hand-crafted features to deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7684-3
Abstract: Semantic segmentation is one of the most important tasks in the field of computer vision. It is the main step towards scene understanding. With the advent of RGB-Depth sensors, such as Microsoft Kinect, nowadays RGB-Depth… read more here.
Keywords: crafted features; rgb depth; segmentation; semantic segmentation ... See more keywords
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01395-y
Abstract: This paper focuses on the unsupervised domain adaptation of transferring the knowledge from the source domain to the target domain in the context of semantic segmentation. Existing approaches usually regard the pseudo label as the… read more here.
Keywords: pseudo label; semantic segmentation; domain; uncertainty ... See more keywords