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20222026
most citedTowards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis

76 citations · 85 across the 6 of their papers we have counts for

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eess.IV2024

FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation

Zijiang Liu, Xiaoyu Liu, Linhao Qu +1

Accurate segmentation of brain metastases (BMs) in MR image is crucial for the diagnosis and follow-up of patients. Methods based on deep convolutional neural networks (CNNs) have…

eess.IV2023★ 9 cited

Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation

Xiaoyu Liu, Linhao Qu, Ziyue Xie +3

Accurate segmentation of multiple organs of the head, neck, chest, and abdomen from medical images is an essential step in computer-aided diagnosis, surgical navigation, and radiat…