Concepedia

Volume-awareness and outlier-suppression co-training for weakly-supervised MRI breast mass segmentation with partial annotations

Xianqi Meng, Jingfan Fan, Hongwei Yu, Jinrong Mu, Zongyu Li, Aocai Yang, Bing Liu, Kuan Lv, Danni Ai, Yucong Lin,

Knowledge-Based Systems · 2022 · 17 citations · 31 references

Concepts

MedicineComputer ScienceRadiologyDiagnostic ImagingDiagnostic RadiologyMachine LearningBreast ImagingMagnetic Resonance Image ReconstructionMagnetic Resonance ImagingMedical ImagingOutlier HandlingVolume SegmentationBreast Mass AssessmentWeakly Supervised Instance SegmentationWeakly Supervised LearningWeakly Supervised SegmentationWeakly Supervised Semantic Segmentation

References

31

Cancer Statistics, 2021

Rebecca L. Siegel, Kimberly D. Miller, Hannah E. Fuchs et al. · CA A Cancer Journal for Clinicians · 2021 · 17.4K citations · Full text

Medicine, Oncology, Cancer Epidemiology +16

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods · 2020 · 8.6K citations · Full text

Computing, Biomedical Engineering, Computer Science +13

Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images

Yuri Boykov, Marie‐Pierre Jolly · 2002 · 3.7K citations

Computing, Computer Science, Biomedical Imaging +12

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

Zilong Huang, Xinggang Wang, Jiasi Wang et al. · 2018 · 635 citations

Computing, Computer Science, Computer Vision +12

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

Martin Rajchl, Matthew Chung Hai Lee, Ozan Oktay et al. · IEEE Transactions on Medical Imaging · 2016 · 417 citations · Full text

Computing, Computer Science, Radiology +16