Concepedia

CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron

Wenyu Xing, Zhibin Zhu, Dongni Hou, Yaoting Yue, Fei Dai, Yifang Li, Tong Lin, Yuanlin Song, Dean Ta

Computers in Biology and Medicine · 2022 · 37 citations · 27 references

Concepts

ComputingBiomedical EngineeringRadiologyComputer VisionDiagnostic ImagingDiagnostic RadiologyDeep LearningImage SegmentationInstance SegmentationMedical Image AnalysisMedical ImagingSemantic SegmentationAutomatic SegmentationConvolutional Neural Network SegmentationDeep Learning In RadiologyMedical Image SegmentationMultilayer PerceptronOrgan SegmentationPerceptron

References

27

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras et al. · Scientific Data · 2017 · 3K citations · Full text

Medicine, Oncology, Radiology +17

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

Abdel Aziz Taha, Allan Hanbury · BMC Medical Imaging · 2015 · 2.8K citations · Full text

Computing, Biomedical Engineering, Computer Science +17

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

Nabil Ibtehaz, M. Sohel Rahman · Neural Networks · 2019 · 2.3K citations · Full text

Computing, Biomedical Engineering, Biomedical Imaging +12

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, Mauricio Reyes · arXiv (Cornell University) · 2018 · 1.4K citations · Full text

Medicine, Oncology, Radiology +17

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li et al. · Medical Image Analysis · 2022 · 1.2K citations · Full text

Medicine, Oncology, Radiology +17