Particle swarm optimization and two-way fixed-effects analysis of variance for efficient brain tumor segmentation
Simple Summary Segmentation of brain tumor images from magnetic resonance imaging
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …
Multimodal-based machine learning strategy for accurate and non-invasive prediction of intramedullary glioma grade and mutation status of molecular markers: a …
C Ma, L Wang, D Song, C Gao, L Jing, Y Lu, D Liu… - BMC medicine, 2023 - Springer
Background Determining the grade and molecular marker status of intramedullary gliomas is
important for assessing treatment outcomes and prognosis. Invasive biopsy for pathology …
important for assessing treatment outcomes and prognosis. Invasive biopsy for pathology …
UNet deep learning architecture for segmentation of vascular and non-vascular images: a microscopic look at UNet components buffered with pruning, explainable …
Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
Extension–contraction transformation network for pancreas segmentation in abdominal CT scans
Y Zheng, J Luo - Computers in Biology and Medicine, 2023 - Elsevier
Accurate and automatic pancreas segmentation from abdominal computed tomography (CT)
scans is crucial for the diagnosis and prognosis of pancreatic diseases. However, the …
scans is crucial for the diagnosis and prognosis of pancreatic diseases. However, the …
DBCGN: dual branch cascade graph network for skin lesion segmentation
P Song, J Li, H Fan, L Fan - International Journal of Machine Learning and …, 2023 - Springer
Accurate segmentation of skin lesions in dermoscopic images is essential for early
diagnosis and prevention of skin cancer. However, it is still a challenging task due to the …
diagnosis and prevention of skin cancer. However, it is still a challenging task due to the …
A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations)
Y Zakeri, B Karasfi, A Jalalian - Journal of Medical and Biological …, 2024 - Springer
Purpose A brain tumor is defined as any group of atypical cells occupying space in the brain.
There are more than 120 types of them. MRI scans are used for brain tumor diagnosis since …
There are more than 120 types of them. MRI scans are used for brain tumor diagnosis since …
ICUnet++: an Inception-CBAM network based on Unet++ for MR spine image segmentation
L Li, J Qin, L Lv, M Cheng, B Wang, D Xia… - International Journal of …, 2023 - Springer
In recent years, more attention paid to the spine caused by related diseases, spinal parsing
(the multi-class segmentation of vertebrae and intervertebral disc) is an important part of the …
(the multi-class segmentation of vertebrae and intervertebral disc) is an important part of the …
A foreground prototype-based one-shot segmentation of brain tumors
The potential for enhancing brain tumor segmentation with few-shot learning is enormous.
While several deep learning networks (DNNs) show promising segmentation results, they all …
While several deep learning networks (DNNs) show promising segmentation results, they all …
[PDF][PDF] SDS-Net: A lightweight 3D convolutional neural network with multi-branch attention for multimodal brain tumor accurate segmentation
Q Wu, Y Pei, Z Cheng, X Hu, C Wang - Math. Biosci. Eng, 2023 - aimspress.com
The accurate and fast segmentation method of tumor regions in brain Magnetic Resonance
Imaging (MRI) is significant for clinical diagnosis, treatment and monitoring, given the …
Imaging (MRI) is significant for clinical diagnosis, treatment and monitoring, given the …
AIoMT-Assisted telemedicine: a case study of eSanjeevani telemedicine service in India
APS Pillai - Handbook of Security and Privacy of AI-Enabled …, 2023 - taylorfrancis.com
The application of digital technologies has been present in healthcare sector for over more
than a century. The wide spread of COVID-19 pandemic forced people to stay isolated, but …
than a century. The wide spread of COVID-19 pandemic forced people to stay isolated, but …