DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles

Author:

Cho Sungduk,Jang Hyungjoon,Tan Jing Wei,Jeong Won-Ki

Funder

Korea Health Industry Development Institute

National Research Foundation

Publisher

IEEE

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. DEPICTER: Deep representation clustering for histology annotation;Computers in Biology and Medicine;2024-01

3. Deep Learning Segmentation of Protein EM Maps;2023 IEEE 5th International Conference on BioInspired Processing (BIP);2023-11-28

4. RGSB-UNet: Hybrid Deep Learning Framework for Tumour Segmentation in Digital Pathology Images;Bioengineering;2023-08-12

5. ZoomISEG: Interactive Multi-Scale Fusion for Histopathology Whole Slide Image Segmentation;Journal of the Korea Computer Graphics Society;2023-07

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