Search Results for author:
Found 3 papers, 0 papers with code
SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment
To address this challenge, a new problem named the Scenario-based Optimal Model Assignment (SOMA) problem is introduced and a novel framework entitled Scenario and Model Associative percepts (SMAP) is developed.
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition
We developed a hydatidiform mole hydrops lesion segmentation model based on a novel loss function and training method.
A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View
We constructed a deep-learning-based CAD system to identify HM hydrops lesions in the microscopic view in real-time.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
