Title | ||
---|---|---|
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue. |
Abstract | ||
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Objective: Ultrahigh-resolution optical coherence microscopy (OCM) has recently demonstrated its potential for accurate diagnosis of human cervical diseases. One major challenge for clinical adoption, however, is the steep learning curve clinicians need to overcome to interpret OCM images. Developing an intelligent technique for computer-aided diagnosis (CADx) to accurately interpret OCM images wi... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TBME.2018.2890167 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Feature extraction,Biomedical imaging,Lesions,Cervical cancer | Cervical cancer,Computer vision,Pattern recognition,Binary classification,Feature (computer vision),Computer science,Convolutional neural network,Medical imaging,Optical coherence microscopy,Computer-aided diagnosis,Feature extraction,Artificial intelligence | Journal |
Volume | Issue | ISSN |
66 | 9 | 0018-9294 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
13 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yu-Tao Ma | 1 | 314 | 28.89 |
Tao Xu | 2 | 8 | 1.47 |
Xiaolei Huang | 3 | 1084 | 63.94 |
Xiaofang Wang | 4 | 36 | 7.83 |
Canyu Li | 5 | 0 | 0.34 |
Jason Jerwick | 6 | 0 | 0.34 |
Yuan Ning | 7 | 0 | 0.34 |
Xianxu Zeng | 8 | 8 | 1.13 |
Baojin Wang | 9 | 0 | 0.34 |
Yihong Wang | 10 | 0 | 0.34 |
Zhan Zhang | 11 | 0 | 0.34 |
Xiaoan Zhang | 12 | 0 | 0.34 |
Chao Zhou | 13 | 7 | 1.82 |