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20092023
most citedRecent advances and clinical applications of deep learning in medical image analysis

1.1k citations · 3.2k across the 78 of their papers we have counts for

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Showing eess.IVShow all

5 papers · 1 filter

eess.IV2023

Spatio-Temporal Classification of Lung Ventilation Patterns using 3D EIT Images: A General Approach for Individualized Lung Function Evaluation

Shuzhe Chen, Li Li, Zhichao Lin +8

The Pulmonary Function Test (PFT) is an widely utilized and rigorous classification test for lung function evaluation, serving as a comprehensive tool for lung diagnosis. Meanwhile…

eess.IV2022★ 54 cited

MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR Images

Junyi Qiu, Lei Li, Sihan Wang +4

Myocardial pathology segmentation (MyoPS) can be a prerequisite for the accurate diagnosis and treatment planning of myocardial infarction. However, achieving this segmentation is…

eess.IV2022★ 5 cited

CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

Ke Zhang, Xiahai Zhuang

Curating a large set of fully annotated training data can be costly, especially for the tasks of medical image segmentation. Scribble, a weaker form of annotation, is more obtainab…

eess.IV2020★ 2 cited

Anatomy Prior Based U-net for Pathology Segmentation with Attention

Yuncheng Zhou, Ke Zhang, Xinzhe Luo +2

Pathological area segmentation in cardiac magnetic resonance (MR) images plays a vital role in the clinical diagnosis of cardiovascular diseases. Because of the irregular shape and…

eess.IV2020★ 3 cited

Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines

Zhenbing Zhao, Hongyu Qi, Yincheng Qi +3

Bolts are the most numerous fasteners in transmission lines and are prone to losing their split pins. How to realize the automatic pin-missing defect detection for bolts in transmi…