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Multimodal 3D Brain Tumor Segmentation with Adversarial Training and Conditional Random Field
Accurate brain tumor segmentation remains a challenging task due to structural complexity and great individual differences of gliomas.
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer
The gold standard for gastric cancer detection is gastric histopathological image analysis, but there are certain drawbacks in the existing histopathological detection and diagnosis.
Histopathological Image Classification
Image Classification
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Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology
Method: This paper proposes a deep ensemble model based on image-level labels for the binary classification of benign and malignant lesions of breast histopathological images.
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
The feature-by-feature comparison can help to select the weaker features and recommend the correct specifications from the beginning life of a product.
