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
A multiscale feature fusion‐guided lightweight semantic segmentation network
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Field Robotics"
DOI: 10.1002/rob.22406
Abstract: Semantic segmentation, a task of assigning class labels to each pixel in an image, has found applications in various real‐world scenarios, including autonomous driving and scene understanding. However, its widespread use is hindered by the… read more here.
Keywords: segmentation; fusion; semantic segmentation; network ... 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
Closing the gap in domain adaptation for semantic segmentation: a time-aware method
Sign Up to like & getrecommendations! Published in 2024 at "Machine Vision and Applications"
DOI: 10.1007/s00138-024-01626-z
Abstract: Semantic segmentation models need a large number of images to be effectively trained but manual annotation of such images has a high cost. Active domain adaptation addresses this problem by pretraining the model with a… read more here.
Keywords: segmentation; model; domain adaptation; semantic segmentation ... See more keywords
Cross-layer attentive feature upsampling for low-latency semantic segmentation
Sign Up to like & getrecommendations! Published in 2024 at "Machine Vision and Applications"
DOI: 10.1007/s00138-024-01631-2
Abstract: Semantic segmentation is a fundamental problem in computer vision and it requires high-resolution feature maps for dense prediction. Current coordinate-guided low-resolution feature interpolation methods, e.g., bilinear interpolation, produce coarse high-resolution features which suffer from feature… read more here.
Keywords: segmentation; semantic segmentation; low latency; feature ... 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
A novel W13 deep CNN structure for improved semantic segmentation of multiple objects in remote sensing imagery
Sign Up to like & getrecommendations! Published in 2025 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10765-3
Abstract: This paper proposes a novel convolutional neural network (CNN) architecture designed for semantic segmentation in remote sensing images. The proposed W13 Net model addresses the inherent challenges of segmentation tasks through a carefully crafted architecture,… read more here.
Keywords: w13 net; cnn; segmentation; remote sensing ... See more keywords