Development and validation of a quality control procedure for automatic segmentation of hippocampal subfields.
Sign Up to like & getrecommendations! Published in 2023 at "Hippocampus"
DOI: 10.1002/hipo.23552
Abstract: Automatic segmentation methods for in vivo magnetic resonance imaging are increasing in popularity because of their high efficiency and reproducibility. However, automatic methods can be perfectly reliable and consistently wrong, and the validity of automatic… read more here.
Keywords: quality control; automatic segmentation; segmentation; procedure ... See more keywords
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22639
Abstract: Glioma is the most common primary tumor in the skull, but it has no obvious boundary with normal brain tissue and is difficult to completely remove. Currently, manual segmentation of the lesion regions has been… read more here.
Keywords: tumor; nonlocal convolutional; segmentation; automatic segmentation ... See more keywords
Automatic segmentation of hyperreflective dots via focal priors and visual saliency.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15848
Abstract: PURPOSE Hyperreflective dots (HRDs) can be observed in spectral domain optical coherence tomography (SD-OCT), which can provide sensitive marker in the treatment decision process. Quantitative analyses of HRDs are the key to make appropriate decisions… read more here.
Keywords: saliency; hyperreflective dots; segmentation; focal priors ... See more keywords
Automatic Segmentation of Prostate MRI Based on 3D Pyramid Pooling Unet.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15895
Abstract: PURPOSE Automatic segmentation of prostate magnetic resonance (MR) images is crucial for the diagnosis, evaluation, and prognosis of prostate diseases (including prostate cancer). In recent years, the mainstream segmentation method for the prostate has been… read more here.
Keywords: prostate; segmentation prostate; feature; segmentation ... See more keywords
Fast automatic segmentation of thalamic nuclei from MP2RAGE acquisition at 7 Tesla
Sign Up to like & getrecommendations! Published in 2020 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28608
Abstract: Thalamic nuclei are largely invisible in conventional MRI due to poor contrast. Thalamus Optimized Multi‐Atlas Segmentation (THOMAS) provides automatic segmentation of 12 thalamic nuclei using white‐matter‐nulled (WMn) Magnetization Prepared Rapid Gradient Echo (MPRAGE) sequence at… read more here.
Keywords: thalamic nuclei; mp2rage; segmentation; segmentation thalamic ... 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
Automatic segmentation of corneal dystrophy on photographic images based on texture analysis
Sign Up to like & getrecommendations! Published in 2021 at "International Ophthalmology"
DOI: 10.1007/s10792-021-01825-x
Abstract: To develop an automatic algorithm to analyze dystrophic lesions on photographic images of corneal dystrophy. The dataset included 32 images of corneal dystrophy. The dystrophic area was manually segmented twice. Manually labeled dystrophy areas were… read more here.
Keywords: analysis; dystrophy; corneal dystrophy; photographic images ... See more keywords
Automatic segmentation and summarization for videos taken with smart glasses
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4910-8
Abstract: This paper discusses the topic of automatic segmentation and extraction of important segments of videos taken with Google Glasses. Using the information from both the video images and additional sensor data that are recorded concurrently,… read more here.
Keywords: segmentation; videos taken; automatic segmentation; taken smart ... See more keywords
Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs
Sign Up to like & getrecommendations! Published in 2021 at "Radiological Physics and Technology"
DOI: 10.1007/s12194-021-00630-6
Abstract: Deep learning has demonstrated high efficacy for automatic segmentation in contour delineation, which is crucial in radiation therapy planning. However, the collection, labeling, and management of medical imaging data can be challenging. This study aims… read more here.
Keywords: data augmentation; sample size; augmentation; automatic segmentation ... See more keywords
Automatic segmentation of hyperreflective foci in OCT images
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.06.019
Abstract: BACKGROUND AND OBJECTIVE The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT)… read more here.
Keywords: automatic segmentation; hyperreflective foci; neural networks; oct images ... See more keywords
Automatic segmentation of Phonocardiogram using the occurrence of the cardiac events
Sign Up to like & getrecommendations! Published in 2017 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2017.05.002
Abstract: Abstract Objective This paper presents automatic method of segmentation of heart sound using the occurrence of the cardiac rhythmic events. Methods Noisy heart sound is filtered using the 6th order Chebyshev type I low pass… read more here.
Keywords: cardiac events; segmentation; occurrence cardiac; automatic segmentation ... See more keywords