activity
20182020
most citedDual-branch residual network for lung nodule segmentation

11 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV20201 cited

Breast mass detection in digital mammography based on anchor-free architecture

Haichao Cao

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 rat…

cs.CV2019

A novel algorithm for segmentation of leukocytes in peripheral blood

Haichao Cao, Hong Liu, Enmin Song

In the detection of anemia, leukemia and other blood diseases, the number and type of leukocytes are essential evaluation parameters. However, the conventional leukocyte counting m…

cs.CV201911 cited

Dual-branch residual network for lung nodule segmentation

Haichao Cao, Hong Liu, Enmin Song +5

An accurate segmentation of lung nodules in computed tomography (CT) images is critical to lung cancer analysis and diagnosis. However, due to the variety of lung nodules and the s…

cs.CV20199 cited

Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection

Haichao Cao, Hong Liu, Enmin Song +5

Early detection of lung cancer is an effective way to improve the survival rate of patients. It is a critical step to have accurate detection of lung nodules in computed tomography…

cs.CV2018

Bone marrow cells detection: A technique for the microscopic image analysis

Haichao Cao, Hong Liu, Enmin Song

In the detection of myeloproliferative, the number of cells in each type of bone marrow cells (BMC) is an important parameter for the evaluation. In this study, we propose a new co…