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Found 4 papers, 2 papers with code
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation
Deep learning models have shown promising performance for cell nucleus segmentation in the field of pathology image analysis.
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection
Since the strong comorbid similarity in NDDs, such as attention-deficit hyperactivity disorder, can interfere with the accurate diagnosis of autism spectrum disorder (ASD), identifying unknown classes is extremely crucial and challenging from NDDs.
MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation
The proposed network structure retains three layers the essential structure of U-Net, in which the atrous convolution combining the multi-kernel pooling blocks are designed to obtain more contextual information.
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph
However, most such works ignore similar sparse semantics information between two given images and cannot capture local topology among correspondences well.
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