Causal knowledge fusion for 3D cross-modality cardiac image segmentation
Abstract Three-dimensional (3D) cross-modality cardiac image segmentation is critical for
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation
Accurate segmentation of brain tumors is very essential for brain tumor diagnosis and
treatment plans. In general, brain tumor includes WT (whole tumor), TC (tumor core) and ET …
treatment plans. In general, brain tumor includes WT (whole tumor), TC (tumor core) and ET …
An automated approach for predicting glioma grade and survival of LGG patients using CNN and radiomics
C Xu, Y Peng, W Zhu, Z Chen, J Li, W Tan… - Frontiers in …, 2022 - frontiersin.org
Objectives To develop and validate an efficient and automatically computational approach
for stratifying glioma grades and predicting survival of lower-grade glioma (LGG) patients …
for stratifying glioma grades and predicting survival of lower-grade glioma (LGG) patients …
Survival classification of Gliomas through a novel enhancement-based strategy for class overlap of radiomics features
Conventional radiomics-based models precisely engineered image-based features from
Magnetic Resonance Imaging (MRI) to extract the predictive patterns for High-Grade …
Magnetic Resonance Imaging (MRI) to extract the predictive patterns for High-Grade …
Thermal damage map prediction during irreversible electroporation with U-Net
A Khorasani - Electromagnetic Biology and Medicine, 2023 - Taylor & Francis
Recent developments in cancer treatment with irreversible electroporation (IRE) have led to
a renewed interest in developing a treatment planning system based on Deep-Learning …
a renewed interest in developing a treatment planning system based on Deep-Learning …
Glioma Image Segmentation Method on Fully Convolutional Neural Network
L Chen, Q Liu, K Liu, J Lu, L Song, K Yang - Proceedings of the 6th …, 2021 - dl.acm.org
Aiming at the difference in the segmentation performance of the three segmentation target
regions in the glioma image segmentation task based on the fully convolutional neural …
regions in the glioma image segmentation task based on the fully convolutional neural …
Deep learning for biomedical image analysis in place of fundamentals, limitations, and prospects of deep learning for biomedical image analysis
Clinical techniques used for the timely identification, observation, diagnostics, and therapy
assessment of a wide range of medical problems are just a few examples of how biomedical …
assessment of a wide range of medical problems are just a few examples of how biomedical …