Explainable deep learning-based lung cancer diagnosis using clinically-guided local interpretable model-agnostic explanations. [PDF]
Sci RepHassan SU +6 more
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Detection of Disease Progression Using Widefield Optical Coherence Tomography in the Nonhuman Primate Experimental Glaucoma Model. [PDF]
Transl Vis Sci TechnolVenkata Srinivasan V +3 more
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Detection of collagen band-associated regions in H&E-stained colonic biopsies of collagenous colitis patients using superpixel-based feature extraction and neural network classification. [PDF]
Diagn PatholKiudelis V +9 more
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Explainable Superpixel-Guided Graph Vision Transformer for Hyperspectral Image Analysis. [PDF]
Sensors (Basel)Chen J +4 more
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Superpixel Random Selection Random Walk Multi-Branch Depthwise Convolutional Neural Network for Hyperspectral Image Classification. [PDF]
Sensors (Basel)Zhang K, Jiang X, Cai Z.
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Superpixels for Hyperspectral Image Analysis
, 2018 With rapid development of multi-channel optical imaging sensors, hyperpsectral data has become increasingly popular, necessitating development of algorithms for robust image analysis with such data.
Priya, Tanu
core
Free Space Estimation Based on Superpixel Clustering for Assisted Driving. [PDF]
Sensors (Basel)Vitales O, Aguilar-Ponce R, Vigueras J.
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Vision-Based Automated Inspection of Box Meals for Food Portion Defects and Foreign Object Detection. [PDF]
Sensors (Basel)Lin HD, Chen GM, Lin CH.
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Hybrid Neural Network Architecture for Automated Liver and Tumor Segmentation Using Ensemble Learning on CT Images. [PDF]
Biomimetics (Basel)Khoshkhabar M, Meshgini S, Afrouzian R.
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Optimal seamline detection for SAR image mosaicking guided by superpixel segmentation and region merging. [PDF]
PLoS OneYan D, Zeng F, Chen B, Huang R, She Y.
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