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Automatic lesion segmentation and classification of hepatic echinococcosis using a multiscale-feature convolutional neural network

Autor: Shenghai Xin, Hongen Liao, A Jide, Mingyu Zhu, Huabei Shi, Cong Ma

Publikováno v: Medical & Biological Engineering & Computing. 58:659-668

Hepatic echinococcosis (HE) is a life-threatening liver disease caused by parasites that requires a precise diagnosis and proper treatments. To assess HE lesions accurately, we propose a novel automatic HE lesion segmentation and classification netwo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d54504689b02e7b38797aa4525c6769
https://doi.org/10.1007/s11517-020-02126-8

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A Classification and Segmentation Combined Two-Stage CNN Model for Automatic Segmentation of Brainstem

Autor: Huabei Shi, Jia Liu, Hongen Liao

Publikováno v: IFMBE Proceedings ISBN: 9789811090349

Accurate segmentation of brainstem in MRI images is the basis for treatment of brainstem tumors. It can prevent brainstem from being damaged in neurosurgery. Brainstem segmentation is dominantly based on atlas registration or CNN using patches at pre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fa205d7aa541388001dd10a705b5724
https://doi.org/10.1007/978-981-10-9035-6_29

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Accurate and rapid CT image segmentation of the eyes and surrounding organs for precise radiotherapy

Autor: Shuo Zhang, Weiling Zhao, Huabei Shi, Kehong Yuan, Yao Sun, Pei Wang, Xiaobo Zhou

Publikováno v: Medical physics. 46(5)

Objective The precise segmentation of organs at risk (OARs) is of importance for improving therapeutic outcomes and reducing injuries of patients undergoing radiotherapy. In this study, we developed a new approach for accurate computed tomography (CT

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5fff57475f005db36e5c6325ffb034b
https://pubmed.ncbi.nlm.nih.gov/30815885

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An Online Learning Approach for Robust Motion Tracking in Liver Ultrasound Sequence

Autor: Huabei Shi, Chunxu Shen, Jian Wu, Yibin Huang, Tao Sun

Publikováno v: Pattern Recognition and Computer Vision ISBN: 9783030033378
PRCV (3)

Suffering from respiratory motion and drift, radiotherapy requires real-time and accuracy motion tracking to minimize damage to critical structures and optimize dosage delivery to target. In this paper, we propose a robust tracker to minimize trackin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a2cd590ab5e4a74107e99749f124c547
https://doi.org/10.1007/978-3-030-03338-5_37

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Single Image Super-Resolution for MRI Using a Coarse-to-Fine Network

Autor: Huabei Shi, Hongen Liao, Jia Liu, Fang Chen

Publikováno v: IFMBE Proceedings ISBN: 9789811075537

Single Image Super-Resolution (SISR) which aims to recover a high resolution (HR) image from a low-resolution (LR) image has a wide range of medical applications. In this paper, we present a novel Super-Resolution Coarse-to-Fine Network (SRCFN) that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7a7e718d5a4a49b74a1cd2572ee20023
https://doi.org/10.1007/978-981-10-7554-4_42

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