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
VMC‐UNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.23222
Abstract: Breast cancer remains one of the most significant health threats to women, making precise segmentation of target tumors critical for early clinical intervention and postoperative monitoring. While numerous convolutional neural networks (CNNs) and vision transformers… read more here.
Keywords: tumor segmentation; breast; segmentation; vmc unet ... See more keywords
DSA: Deep Self‐Attention Medical Transformer Neuro‐Technology for Brain Tumor Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70109
Abstract: Transformer‐based methods have shown remarkable outcomes in medical image segmentation tasks. Specifically, the Swin Transformer has proven to be an impressive approach for segmentation jobs, demonstrating its potential to further the discipline. Extensive research on… read more here.
Keywords: tumor segmentation; segmentation; tumor; transformer ... See more keywords
Towards Efficient Brain Tumor Segmentation via a Transformer‐Driven 3D U‐Net
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70158
Abstract: Accurate brain tumor segmentation is critical for clinical diagnosis and treatment. The rapid development of deep neural networks (DNNs) in computer vision offers an automated solution for segmentation tasks. However, convolutional neural networks (CNNs) cannot… read more here.
Keywords: tumor segmentation; segmentation; tumor; brain tumor ... See more keywords
Improved Brain Tumor Segmentation With SegFormer: A Transformer‐Based Architecture for Cross‐Dataset Generalization
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70257
Abstract: This research work aims to improve brain tumor segmentation using a transformer architecture known as SegFormer. It is essential to segment brain tumors correctly for surgical planning and tumor progression assessment. Many existing segmentation techniques… read more here.
Keywords: tumor segmentation; brain; segmentation; transformer based ... 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