Fully automatic tumor segmentation of breast ultrasound images with deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13863
Abstract: Abstract Background Breast ultrasound (BUS) imaging is one of the most prevalent approaches for the detection of breast cancers. Tumor segmentation of BUS images can facilitate doctors in localizing tumors and is a necessary step… read more here.
Keywords: breast ultrasound; fully automatic; tumor segmentation; bus ... See more keywords
Fully automatic extraction of morphological traits from the web: Utopia or reality?
Sign Up to like & getrecommendations! Published in 2024 at "Applications in Plant Sciences"
DOI: 10.1002/aps3.70005
Abstract: Abstract Premise Plant morphological traits, their observable characteristics, are fundamental to understanding the role played by each species within its ecosystem; however, compiling trait information for even a moderate number of species is a demanding… read more here.
Keywords: information; fully automatic; language; morphological traits ... See more keywords
NeXt for neuro‐radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22253
Abstract: Stereotactic neuro‐radiosurgery is a well‐established therapy for intracranial diseases, especially brain metastases and highly invasive cancers that are difficult to treat with conventional surgery or radiotherapy. Nowadays, magnetic resonance imaging (MRI) is the most used… read more here.
Keywords: fully automatic; neuro radiosurgery; mri; brain ... See more keywords
Fully automatic brain tumor extraction and tissue segmentation from multimodal MRI brain images
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22459
Abstract: Segmentation of Brain tumor from the magnetic resonance imaging (MRI) of head scans is an essential requirement for clinical diagnosis since manual segmentation is a fatigue and time‐consuming process. Recent computer‐aided diagnosis systems depend on… read more here.
Keywords: extraction; fully automatic; segmentation; brain tumor ... See more keywords
Fully Automatic Assessment of Background Parenchymal Enhancement on Breast MRI Using Machine‐Learning Models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27429
Abstract: Automated measurement and classification models with objectivity and reproducibility are required for accurate evaluation of the breast cancer risk of fibroglandular tissue (FGT) and background parenchymal enhancement (BPE). read more here.
Keywords: breast; fully automatic; automatic assessment; background parenchymal ... See more keywords
Accuracy and practical aspects of semi- and fully automatic segmentation methods for resected brain areas
Sign Up to like & getrecommendations! Published in 2020 at "Neuroradiology"
DOI: 10.1007/s00234-020-02481-1
Abstract: Precise segmentation of brain lesions is essential for neurological research. Specifically, resection volume estimates can aid in the assessment of residual postoperative tissue, e.g. following surgery for glioma. Furthermore, behavioral lesion-symptom mapping in epilepsy relies… read more here.
Keywords: fully automatic; segmentation; brain areas; automatic segmentation ... See more keywords
Contour segmentation of the intima, media, and adventitia layers in intracoronary OCT images: application to fully automatic detection of healthy wall regions
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-017-1657-7
Abstract: PurposeQuantitative and automatic analysis of intracoronary optical coherence tomography images is useful and time-saving to assess cardiovascular risk in the clinical arena.MethodsFirst, the interfaces of the intima, media, and adventitia layers are segmented, by means… read more here.
Keywords: adventitia layers; fully automatic; intima media; media adventitia ... See more keywords
Fully automatic integrated continuous-flow digital PCR device for absolute DNA quantification.
Sign Up to like & getrecommendations! Published in 2020 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2020.05.044
Abstract: Existing digital polymerase chain reaction (PCR) devices consist of multiple independent devices, such as a droplet generator, a PCR thermocycler, and a droplet reader, which have the disadvantages of low integration, complex equipment structure, and… read more here.
Keywords: pcr device; fully automatic; pcr; digital pcr ... See more keywords
Adaptive median binary patterns for fully automatic nerves tracking in ultrasound images
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.03.013
Abstract: BACKGROUND AND OBJECTIVE In the last decade, Ultrasound-Guided Regional Anesthesia (UGRA) gained importance in surgical procedures and pain management, due to its ability to perform target delivery of local anesthetics under direct sonographic visualization. However,… read more here.
Keywords: adaptive median; binary patterns; fully automatic; ultrasound images ... See more keywords
Computationally efficient fully-automatic online neural spike detection and sorting in presence of multi-unit activity for implantable circuits
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.104986
Abstract: BACKGROUND Spike sorting is a basic step for implantable neural interfaces. With the growing number of channels, the process should be computationally efficient, automatic,robust and applicable on implantable circuits. NEW METHOD The proposed method is… read more here.
Keywords: computationally efficient; detection; unit; spike ... See more keywords
Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.105182
Abstract: Background Chest computed tomography (CT) is crucial in the diagnosis of coronavirus disease 2019 (COVID-19). However, the persistent pandemic and similar CT manifestations between COVID-19 and community-acquired pneumonia (CAP) raise methodological requirements. Methods A fully… read more here.
Keywords: acquired pneumonia; pipeline; level; fully automatic ... See more keywords