ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14580
Abstract: PURPOSE The research is to develop a novel CNN-based adversarial deep learning method to improve and expedite the multi-organ semantic segmentation of CT images and to generate accurate contours on pelvic CT images. METHODS Planning… read more here.
Keywords: arpm net; segmentation; pelvic images; method ... See more keywords
ESSN: Enhanced Semantic Segmentation Network by Residual Concatenation of Feature Maps
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2969442
Abstract: Semantic segmentation performs pixel-level classification of multiple classes in the input image. Previous studies on semantic segmentation have used various methods such as multi-scale image, encoder-decoder, attention, spatial pyramid pooling, conditional random field, and generative… read more here.
Keywords: segmentation network; semantic segmentation; feature maps; segmentation ... See more keywords
MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3153406
Abstract: Organ segmentation is one of the most important step for various medical image analysis tasks. Recently, semi-supervised learning (SSL) has attracted much attentions by reducing labeling cost. However, most of the existing SSLs neglected the… read more here.
Keywords: semi supervised; task learning; segmentation; multi task ... See more keywords
DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2960528
Abstract: Deep learning-based methods have presented a promising performance in the task of hyperspectral imagery classification (HSIC). However, recent methods usually are considered HSIC as a patchwise image classification problem and addressed it by giving a… read more here.
Keywords: hyperspectral imagery; classification; segmentation network; semantic segmentation ... See more keywords
UGCNet: An Unsupervised Semantic Segmentation Network Embedded With Geometry Consistency for Remote-Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3129776
Abstract: In remote-sensing image (RSI) semantic segmentation, the dependence on large-scale and pixel-level annotated data has been a critical factor restricting its development. In this letter, we propose an unsupervised semantic segmentation network embedded with geometry… read more here.
Keywords: remote sensing; geometry; segmentation; segmentation network ... See more keywords
RFS-Net: Railway Track Fastener Segmentation Network With Shape Guidance
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3212088
Abstract: The fastener is one of the main components of a rail track system. In recent years, deep learning methods such as image segmentation have greatly boosted the fastener state detection process. However, there is still… read more here.
Keywords: rfs net; stream; fastener; shape ... See more keywords
SegLog: Geophysical Logging Segmentation Network for Lithofacies Identification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3136651
Abstract: Identifying borehole lithofacies through geop- hysical loggings is a fundamental task in petroleum exploration industry. Recent interdisciplinary studies have demonstrated the feasibility of applying machine learning to lithofacies identification. Most of these studies establish a… read more here.
Keywords: logging segmentation; lithofacies identification; geophysical logging; segmentation ... See more keywords
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3127645
Abstract: Accurate welding defect location is of great significance to modern manufacturing, which could be used for accurate quality evaluation and precise repairing decision-making basis of different products. Nevertheless, accurate welding defect location is still a… read more here.
Keywords: welding defect; segmentation; segmentation network; defect detection ... See more keywords
Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3215580
Abstract: Accurate segmentation of retinal images can assist ophthalmologists to determine the degree of retinopathy and diagnose other systemic diseases. However, the structure of the retina is complex, and different anatomical structures often affect the segmentation… read more here.
Keywords: network; stream segmentation; segmentation; dual stream ... See more keywords
3D M-Net: Object-Specific 3D Segmentation Network Based on a Single Projection
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/5852595
Abstract: The internal assembly correctness of industrial products directly affects their performance and service life. Industrial products are usually protected by opaque housing, so most internal detection methods are based on X-rays. Since the dense structural… read more here.
Keywords: segmentation network; detection; single projection; network ... See more keywords
Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy
Sign Up to like & getrecommendations! Published in 2023 at "World Journal of Gastroenterology"
DOI: 10.3748/wjg.v29.i5.879
Abstract: BACKGROUND Small intestinal vascular malformations (angiodysplasias) are common causes of small intestinal bleeding. While capsule endoscopy has become the primary diagnostic method for angiodysplasia, manual reading of the entire gastrointestinal tract is time-consuming and requires… read more here.
Keywords: neural network; capsule endoscopy; network; convolutional neural ... See more keywords