Search Results for author: Jicong Zhang

Found 9 papers, 3 papers with code

Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis

no code implementations10 Jul 2023 Mingyuan Liu, Lu Xu, Jicong Zhang

To tackle OSR, we assume that known classes could densely occupy small parts of the embedding space and the remaining sparse regions could be recognized as unknowns.

Medical Diagnosis Open Set Learning

Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images

no code implementations18 Apr 2022 Yanchao Yuan, Cancheng Li, Lu Xu, Ke Zhang, Yang Hua, Jicong Zhang

Test results show that the proposed method with dice loss function yields a Dice value of 0. 820, an IoU of 0. 701, Acc of 0. 969, and modified Hausdorff distance (MHD) of 1. 43 for 30 vulnerable cases of plaques, it outperforms some of the conventional CNN-based methods on these metrics.

Segmentation SSIM

Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation

no code implementations5 Dec 2021 Yichi Zhang, Rushi Jiao, Qingcheng Liao, Dongyang Li, Jicong Zhang

In this paper, we propose a novel uncertainty-guided mutual consistency learning framework to effectively exploit unlabeled data by integrating intra-task consistency learning from up-to-date predictions for self-ensembling and cross-task consistency learning from task-level regularization to exploit geometric shape information.

Brain Tumor Segmentation Image Segmentation +4

Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation

1 code implementation20 Sep 2021 Xuanting Hao, Shengbo Gao, Lijie Sheng, Jicong Zhang

Based on this, the feature extractor is constrained to encourage the consistency of probability maps generated by classifiers under diversified features.

Image Segmentation Left Atrium Segmentation +3

Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation

1 code implementation8 Mar 2021 Yichi Zhang, Jicong Zhang

The success of deep learning methods in medical image segmentation tasks usually requires a large amount of labeled data.

Image Segmentation Segmentation +2

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

no code implementations31 Dec 2020 Yichi Zhang, Qingcheng Liao, Lin Yuan, He Zhu, Jiezhen Xing, Jicong Zhang

In this paper, we propose a novel relation-driven collaborative learning model to exploit shared knowledge from non-COVID lesions for annotation-efficient COVID-19 CT lung infection segmentation.

Computed Tomography (CT) Lesion Segmentation +1

Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions

no code implementations13 Oct 2020 Yichi Zhang, Qingcheng Liao, Le Ding, Jicong Zhang

Despite these works lead to improvements on a variety of segmentation tasks, to the best of our knowledge, there has not previously been a large-scale empirical comparison of these methods.

Image Segmentation Segmentation +2

SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention

no code implementations MIDL 2019 Yichi Zhang, Lin Yuan, Yujia Wang, Jicong Zhang

Accurate segmentation of spine Magnetic Resonance Imaging (MRI) is highly demanded in morphological research, quantitative analysis, and diseases identification, such as spinal canal stenosis, disc herniation and degeneration.

MRI segmentation Segmentation

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