Jul 27, 2023 · We propose BSANet, a 3D medical image segmentation network based on self-focus and multi-scale information fusion with a high-performance feature extraction ...
BSANet can help the network to extract deeper features by obtaining a larger range of perceptual capabilities by using its self-focus and multi-scale ...
Aug 2, 2023 · We propose BSANet, a 3D medical image segmentation network based on self-focus and multi-scale information fusion with a high-performance ...
BSANet High Performance 3D Medical Image Segmentation · Breast Cancer Classification Using Equivariance Transition in Group Convolutiona...
BSANet can help the network to extract deeper features by obtaining a larger range of perceptual capabilities by using its self-focus and multi-scale ...
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This paper presents a novel recurrent interleaved attention network (RIANet) to comprehensively tackle this issue.
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Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model. BM011GK, BSANet High-Performance 3D Medical Image Segmentation. BM012GK ...
A collaborative framework was initiated to establish a community resource of ground truth segmentations from cardiac MRI.
Sep 28, 2024 · The accurate segmentation of distinct cardiac regions from cardiac magnetic resonance (CMR) images is pivotal for enhancing the diagnosis ...
Missing: High- 3D
Dec 19, 2019 · Multislice inputs appear not to improve segmentation results over using 2D or 3D CNNs, but the proposed novel pseudo-3D method does appear to have a slight ...