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Found 5 papers, 0 papers with code
Breast mass detection in digital mammography based on anchor-free architecture
Background and Objective: Accurate detection of breast masses in mammography images is critical to diagnose early breast cancer, which can greatly improve the patients survival rate.
Dual-branch residual network for lung nodule segmentation
Experimental results show that the DB-ResNet achieves superior segmentation performance with an average dice score of 82. 74% on the dataset.
A novel algorithm for segmentation of leukocytes in peripheral blood
First, the nucleus of leukocyte was separated by using the stepwise averaging method.
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection
The CNN architecture in the first stage is based on the improved UNet segmentation network to establish an initial detection of lung nodules.
Bone marrow cells detection: A technique for the microscopic image analysis
The localization of BMC is achieved from a color transformation enhanced BMC sample image and stepwise averaging method (SAM).
