output
20002025
most cited2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

125 citations

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6 papers · 1 filter

eess.IV2025★ 8 cited

A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans

Jun Li, Yijue Zhang, Haibo Shi +3

Pancreatic cancer, characterized by its notable prevalence and mortality rates, demands accurate lesion delineation for effective diagnosis and therapeutic interventions. The gener…

eess.IV2023★ 10 cited

A Two-Step Deep Learning Method for 3DCT-2DUS Kidney Registration During Breathing

Chi Yanling, Xu Yuyu, Liu Huiying +5

This work proposed a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which consists of a feature network, and a 3D-2D CNN-based registration n…

eess.IV2023★ 12 cited

Mpox-AISM: AI-Mediated Super Monitoring for Mpox and Like-Mpox

Yubiao Yue, Minghua Jiang, Xinyue Zhang +5

Swift and accurate diagnosis for earlier-stage monkeypox (mpox) patients is crucial to avoiding its spread. However, the similarities between common skin disorders and mpox and the…

eess.IV2022★ 125 cited

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

Lingwei Meng, Di Dong, Xin Chen +5

Objective: Radiomics, an emerging tool for medical image analysis, is potential towards precisely characterizing gastric cancer (GC). Whether using one-slice 2D annotation or whole…

eess.IV2021★ 36 cited

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

Yang Deng, Ce Wang, Yuan Hui +12

Spine-related diseases have high morbidity and cause a huge burden of social cost. Spine imaging is an essential tool for noninvasively visualizing and assessing spinal pathology.…

eess.IV2020★ 1 cited

Contrastive Rendering for Ultrasound Image Segmentation

Haoming Li, Xin Yang, Jiamin Liang +12

Ultrasound (US) image segmentation embraced its significant improvement in deep learning era. However, the lack of sharp boundaries in US images still remains an inherent challenge…