Xinjian Chen

Fit-for-purpose split-stream treatment of shale-gas flowback water by Ce(III)-assisted Fenton oxidation and nanofiltration

Xinjian Chen, Wen Cheng, Kangyi Gao

OphFusionNet: Uncertainty-Driven Multi-Scale Multimodal Feature Fusion Network for Ophthalmic Diseases Classification

Bo Wu, Weifang Zhu, Dehui Xiang, Xinjian Chen et autres

Multimodal imaging has become an essential tool in clinical ophthalmology, offering complementary perspectives for disease diagnosis. However, current automated diagnostic approaches often fail to fully exploit the rich, complementary information provided by different imaging modalities. In this paper, to advance automated ophthalmic …

cn (code pays fourni par la source)

AI-Based Automatic Prostate Gland Segmentation in Multi-modal Medical Imaging: A Review

Doudou Xu, Rui Jin, Lu Fan, Derun Li et autres

Prostate cancer poses a significant threat to health, necessitating early detection to reduce mortality rates among patients. One approach involves using multi-modality (CT, MRI, US, etc.) computer-aided diagnosis (CAD) systems for the prostate region. However, prostate segmentation is challenging due to imperfections …

cn, au, hk (code pays fourni par la source)

Application of multi-echo susceptibility weighted imaging in the evaluation of brain capillary telangiectasias

Yun Meng, Kaixi Xu, Xinjian Chen, Xingru Xu et autres

Objective To explore the diagnostic value of high-resolution 3.0 T multi-echo susceptibility weighted imaging (SWI) technique for brain capillary telangiectasias (BCT). Methods In this study, 36 BCT patients’ conventional MR images and multi-echo SWI were retrospectively collected, and the BCT imaging features …

cn (code pays fourni par la source)

Designing a hybrid optimization methodology for delineating boundary of ultrasound prostate cancer with an explainable mathematical model

Tao Peng, Dehui Xiang, Zhongyi Zhang, Binbin Jiang et autres

hk, cn, Éthiopie (code pays fourni par la source)

Targeting B7-H3 in Cancer-Associated Fibroblasts Using Nanosystems Suppresses Anaplastic Thyroid Carcinoma Progression

Tong Chen, Xudong Li, Dongken Hong, Lichen Yin et autres

Background: Anaplastic thyroid carcinoma (ATC) represents a rare yet highly malignant histotype of thyroid cancer. Cancer-associated fibroblasts (CAFs) play a pivotal role in tumor cell invasion, migration, and angiogenesis and present a potential target for cancer treatment. We aimed to investigate the …

cn (code pays fourni par la source)

Uncertainty‐guided cross‐level fusion network for retinal OCT image segmentation

Jiaxin Wang, Weifang Zhu, Dehui Xiang, Xinjian Chen et autres

BACKGROUND: Deep learning-based segmentation methods for optical coherence tomography (OCT) have demonstrated outstanding performance. However, the stochastic distribution of training data and the inherent limitations of deep neural networks introduce uncertainty into the segmentation process. Accurately estimating this uncertainty is essential for …

cn, sg (code pays fourni par la source)

Meta-Learning With Unlabeled Query Updating and Consistency Learning for Few-Shot OCT Image Classification

Ziting Yin, Weifang Zhu, Dehui Xiang, Xinjian Chen et autres

OBJECTIVE: Deep neural networks are widely used in the field of optical coherence tomography (OCT) to screen some common retinal diseases. However, for rare diseases with fewer cases for model training, it is challenging to achieve automatic diagnosis using traditional deep learning. …

tw, cn (code pays fourni par la source)

Experimental study on the quenching effect of copper foam flame arrester on jet fire

Yilong Lan, Zengguang Liu, Huaijun Ji, Xinjian Chen et autres

cn (code pays fourni par la source)

Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis

Jing Huang, Jingtao Wang, Hengli Ni, Shan Xu et autres

Lymph node micro-metastasis represents the initial stage of breast cancer spread or metastasis. However, the limited size of these hidden lesions restricts dataset expansion, presenting a significant challenge for manual examination and conventional deep learning techniques. By harnessing the power of meta-learning …

cn (code pays fourni par la source)

AMeta-FD: Adversarial Meta-learning for Few-shot retinal OCT image Despeckling

Yi Zhou, Tao Peng, Thiara Sana Ahmed, Fei Shi et autres

cn, sg (code pays fourni par la source)

PIOFSF: A deep learning-based pediatric inferior orbital fracture screening framework

Kai Xu, Muhammad Mateen, Weifang Zhu, Fei Shi et autres

cn, us (code pays fourni par la source)