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IEEE10mon
Scene-Specific Unsupervised Segmentation Parameter Optimization for High-Resolution Remote Sensing Images
Abstract: The primary challenge in image ... parameter optimization to conduct multiscale segmentation. Images were firstly divided into different partitions based on the complexity of scene ...
IEEE1y
Lung cancer detection and classification using CNN and image segmentation
In return the use of ... size of the input matrix to the algorithm. This article proposes a CNN optimization method based on reducing the computational cost of the CNN. The process optimizes the ...
BMJ1y
AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice
Representative classification and segmentation ... networks using the patchwork toolbox,23 24 wherein matrices of fixed size represent image areas of decreasing size in increasing resolution, ...