Image multi-target detection and segmentation algorithm based on regional proposed fast intelligent network
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2185-0
Abstract: Due to the image multi-target detection and segmentation algorithm is constrained by the low robustness of multi-target detection, and the correlation between the target detection result and the target segmentation method is relatively weak, so… read more here.
Keywords: detection; target detection; target; detection segmentation ... See more keywords
Brain tumor detection and segmentation using mesh-free super-diffusive model
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08374-7
Abstract: Brain tumor detection and segmentation is a complex and challenging task in image processing. Most of the techniques used for brain tumor detection and segmentation in the early stage are failed to locate a tumor… read more here.
Keywords: model; detection segmentation; brain tumor; tumor ... See more keywords
Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study
Sign Up to like & getrecommendations! Published in 2020 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2020.102780
Abstract: Background Accurate lymph nodes (LNs) assessment is important for rectal cancer (RC) staging in multiparametric magnetic resonance imaging (mpMRI). However, it is incredibly time-consumming to identify all the LNs in scan region. This study aims… read more here.
Keywords: detection; lymph; segmentation; deep learning ... See more keywords
Deep-learning-based Detection and Segmentation-assisted Management on Brain Metastases.
Sign Up to like & getrecommendations! Published in 2019 at "Neuro-oncology"
DOI: 10.1093/neuonc/noz234
Abstract: BACKGROUND Three-dimensional T1-magnetization-prepared rapid gradient-echo (3D-T1-MPRAGE) is preferred in detecting brain metastases (BMs) among MRI. We developed an automatic deep-learning-based detection and segmentation method for BMs (named BMDS net) on 3D-T1-MPRAGE images and evaluated its… read more here.
Keywords: brain metastases; detection; segmentation; bmds net ... See more keywords
Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035345
Abstract: Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to… read more here.
Keywords: active contour; detection segmentation; melanoma; melanoma detection ... See more keywords
Self-supervised Human Detection and Segmentation via Background Inpainting.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3123902
Abstract: While supervised object detection and segmentation methods achieve impressive accuracy, they generalize poorly to images whose appearance significantly differs from the data they have been trained on. To address this when annotating data is prohibitively… read more here.
Keywords: self supervised; detection segmentation; human detection; segmentation ... See more keywords
A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3018757
Abstract: The manipulating robots receive much attention by offering better services, where object grasping is still challenging especially under background interferences. In this article, a novel two-stream grasping convolutional neural network (CNN) with simultaneous detection and… read more here.
Keywords: segmentation; two stream; detection; cnn simultaneous ... See more keywords
Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.4.4.041311
Abstract: Abstract. The work explores the use of denoising autoencoders (DAEs) for brain lesion detection, segmentation, and false-positive reduction. Stacked denoising autoencoders (SDAEs) were pretrained using a large number of unlabeled patient volumes and fine-tuned with… read more here.
Keywords: lesion detection; denoising autoencoders; segmentation; brain ... See more keywords
Glo-In-One: holistic glomerular detection, segmentation, and lesion characterization with large-scale web image mining
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.5.052408
Abstract: Abstract. Purpose: The quantitative detection, segmentation, and characterization of glomeruli from high-resolution whole slide imaging (WSI) play essential roles in the computer-assisted diagnosis and scientific research in digital renal pathology. Historically, such comprehensive quantification requires… read more here.
Keywords: glo one; glomerular detection; detection segmentation; detection ... See more keywords
Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images
Sign Up to like & getrecommendations! Published in 2022 at "Oxidative Medicine and Cellular Longevity"
DOI: 10.1155/2022/6009107
Abstract: Ovarian cancer is one of the most common malignant tumours of female reproductive organs in the world. The pelvic CT scan is a common examination method used for the screening of ovarian cancer, which shows… read more here.
Keywords: detection segmentation; ovarian cancer; cancer; multitask model ... See more keywords
Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0278487
Abstract: Due to the severity and speed of spread of the ongoing Covid-19 pandemic, fast but accurate diagnosis of Covid-19 patients has become a crucial task. Achievements in this respect might enlighten future efforts for the… read more here.
Keywords: framework; detection segmentation; segmentation; detection ... See more keywords