☆ 4.7 Article

Intracerebral hemorrhage CT scan image segmentation with HarDNet based transformer

SCIENTIFIC REPORTS (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Artificial Intelligence

Res2Net: A New Multi-Scale Backbone Architecture

Shang-Hua Gao et al.

Summary: This paper introduces a novel building block for CNNs, Res2Net, which represents multiscale features within one single residual block by constructing hierarchical residual-like connections. The Res2Net enhances the representation of multiscale features in various vision tasks and consistently outperforms baseline models in performance gains.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

Add to Collection

Article Engineering, Biomedical

DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images

Guoping Xu et al.

Summary: The study introduces a novel LN segmentation method, addressing voxel class imbalance and incorporating a multi-stage and multi-scale ASPP module, which enhances the performance of LN segmentation.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2021)

Add to Collection

Article Engineering, Biomedical

3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation

Jia You et al.

Summary: The proposed DSU-Net offers a novel approach for HMCAS automatic segmentation by integrating Siamese and U-Net architectures, outperforming the baseline U-Net and many state-of-the-art models for clinical practice.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2021)

Add to Collection

Article Engineering, Biomedical

Computed tomography image reconstruction using stacked U-Net

Satoru Mizusawa et al.

Summary: This study applies deep learning methods to X-ray computed tomography image reconstruction, generating high-quality images with a small number of projections in a shorter time. The proposed method demonstrates better image quality and shorter reconstruction time compared to existing methods.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2021)

Add to Collection

Article Engineering, Biomedical

Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks

Valeriia Abramova et al.

Summary: The deep learning-based approach proposed in this study achieves promising automated segmentation results of hemorrhagic stroke lesions, with significant improvement by incorporating squeeze-and-excitation blocks and restrictive patch sampling.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2021)

Add to Collection

Article Engineering, Biomedical

Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time

Haoyue Zhang et al.

Summary: This study introduces deep learning models that utilize MRI diffusion sequences to classify the time since stroke onset in patients with acute ischemic strokes. They propose an intra-domain task-adaptive transfer learning method to improve model performance, achieving higher accuracy rates on a broad spectrum of patients.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2021)

Add to Collection

Article Computer Science, Interdisciplinary Applications

UNet plus plus : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Zongwei Zhou et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Vijay Badrinarayanan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Add to Collection

Article Geriatrics & Gerontology

The Presence of Previous Cerebral Microbleeds Hasa Negative Effect on Hypertensive Intracerebral Hemorrhage Recovery

Kang Yang et al.

FRONTIERS IN AGING NEUROSCIENCE (2017)

Add to Collection

Proceedings Paper Computer Science, Interdisciplinary Applications

Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation

Rudra P. K. Poudel et al.

RECONSTRUCTION, SEGMENTATION, AND ANALYSIS OF MEDICAL IMAGES (2017)

Add to Collection

Article Mathematical & Computational Biology

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Adrienne M. Mendrik et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2015)

Add to Collection

© Peeref 2019-2024. All rights reserved.