[HTML][HTML] Factorizer: A scalable interpretable approach to context modeling for medical image segmentation
Abstract Convolutional Neural Networks (CNNs) with U-shaped architectures have
dominated medical image segmentation, which is crucial for various clinical purposes …
dominated medical image segmentation, which is crucial for various clinical purposes …
Dynamic weighted knowledge distillation for brain tumor segmentation
D An, P Liu, Y Feng, P Ding, W Zhou, B Yu - Pattern Recognition, 2024 - Elsevier
Automatic 3D MRI brain tumor segmentation holds a crucial position in the field of medical
image analysis, contributing significantly to the clinical diagnosis and treatment of brain …
image analysis, contributing significantly to the clinical diagnosis and treatment of brain …
New multiple sclerosis lesion segmentation and detection using pre-activation U-Net
Automated segmentation of new multiple sclerosis (MS) lesions in 3D MRI data is an
essential prerequisite for monitoring and quantifying MS progression. Manual delineation of …
essential prerequisite for monitoring and quantifying MS progression. Manual delineation of …
Multi-scale features and attention guided for brain tumor segmentation
Brain tumor segmentation supplies a credible reference for clinical treatment and
pathological research and facilitates practitioners to diagnose more accurately. However …
pathological research and facilitates practitioners to diagnose more accurately. However …
Posttraining Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …
Brain Tumor Segmentation Using 3D Attention U Net
SKR Chinnam, V Sistla, VKK Kolli - International Advanced Computing …, 2022 - Springer
Segmentation plays a significant role in the brain tumor analysis for its early diagnosis and
treatment planning. Manual segmentation of brain tumors from MRI slices is a time …
treatment planning. Manual segmentation of brain tumors from MRI slices is a time …