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
Multi‐modal brain tumor image segmentation based on SDAE
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22254
Abstract: Accurate tumor segmentation has the ability to provide doctors with a basis for surgical planning. Moreover, brain tumor segmentation needs to extract different tumor tissues (Edema, tumor, tumor enhancement, and necrosis) from normal tissues which… read more here.
Keywords: segmentation; tumor segmentation; multi modal; brain tumor ... See more keywords
ME‐Net: Multi‐encoder net framework for brain tumor segmentation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22571
Abstract: MRI plays a vital role to evaluate brain tumor diagnosis and treatment planning. However, the manual segmentation of the MRI image is strenuous. With the development of deep learning, a large number of automatic segmentation… read more here.
Keywords: segmentation; tumor segmentation; net multi; brain tumor ... See more keywords
Research on the magnetic resonance imaging brain tumor segmentation algorithm based on DO‐UNet
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22783
Abstract: With the social and economic development and the improvement of people's living standards, smart medical care is booming, and medical image processing is becoming more and more popular in research, of which brain tumor segmentation… read more here.
Keywords: brain tumor; tumor segmentation; brain; segmentation ... See more keywords
Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model
Sign Up to like & getrecommendations! Published in 2019 at "Medical Physics"
DOI: 10.1002/mp.13268
Abstract: PURPOSE Due to the low contrast, blurry boundaries, and large amount of shadows in breast ultrasound (BUS) images, automatic tumor segmentation remains a challenging task. Deep learning provides a solution to this problem, since it… read more here.
Keywords: network; segmentation; fully convolutional; tumor segmentation ... See more keywords
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15723
Abstract: PURPOSE Automated liver tumor segmentation from Computed Tomography (CT) images is a necessary prerequisite in the interventions of hepatic abnormalities and surgery planning. However, accurate liver tumor segmentation remains challenging due to the large variability… read more here.
Keywords: tumor segmentation; level; segmentation; correlation ... See more keywords
Clinical capability of modern brain tumor segmentation models.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16321
Abstract: PURPOSE State-of-the-art automated segmentation methods achieve exceptionally high performance on the Brain Tumor Segmentation (BraTS) challenge, a dataset of uniformly processed and standardized magnetic resonance generated images (MRIs) of gliomas. However, a reasonable concern is… read more here.
Keywords: tumor segmentation; brain; segmentation; brats dataset ... See more keywords
3D asymmetric expectation-maximization attention network for brain tumor segmentation.
Sign Up to like & getrecommendations! Published in 2021 at "NMR in biomedicine"
DOI: 10.1002/nbm.4657
Abstract: Automatic brain tumor segmentation on MRI is a prerequisite to provide a quantitative and intuitive assistance for clinical diagnosis and treatment. Meanwhile, 3D deep neural network related brain tumor segmentation models have demonstrated considerable accuracy… read more here.
Keywords: tumor segmentation; brain; brain tumor; network ... See more keywords
Glioma survival prediction from whole-brain MRI without tumor segmentation using deep attention network: a multicenter study
Sign Up to like & getrecommendations! Published in 2022 at "European Radiology"
DOI: 10.1007/s00330-022-08640-7
Abstract: To develop and validate a deep learning model for predicting overall survival from whole-brain MRI without tumor segmentation in patients with diffuse gliomas. In this multicenter retrospective study, two deep learning models were built for… read more here.
Keywords: tumor; brain mri; tumor segmentation; whole brain ... See more keywords
A hybrid weighted fuzzy approach for brain tumor segmentation using MR images
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06010-w
Abstract: Human brain tumor detection and classification are time-consuming however vital tasks for any medical expert. Assistance via computer aided diagnosis is commonly used to enhance diagnosis capabilities attaining maximum detection accuracy. Despite significant research, brain… read more here.
Keywords: approach; tumor segmentation; tumor; brain tumor ... See more keywords
Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-020-00341-1
Abstract: 18 F-Fluorodeoxyglucose-positron emission tomography (FDG-PET) is commonly used in clinical practice and clinical drug development to identify and quantify metabolically active tumors. Manual or computer-assisted tumor segmentation in FDG-PET images is a common way to… read more here.
Keywords: fdg pet; tumor segmentation; convolutional neural; whole body ... See more keywords