Organ Detection
3 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Organ Detection
Hyper-Kvasir Dataset
Latest papers with no code
Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
Our novel selective attention approach (i) effectively shrinks the search space inside the feature map, (ii) appends useful localization information to the hypothesized proposal for the detection architecture to learn where to look for each organ, and (iii) modifies the pyramid of regression references in the RPN by incorporating organ- and modality-specific information, which results in additional time reduction.
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes
We propose a fully-automated method for accurate and robust detection and segmentation of potentially cancerous lesions found in the liver and in lymph nodes.
