Medical Image Segmentation

Medical image segmentation is an important preprocessing step in many statistical image analysis studies. We have developed efficient and accurate image segmentation algorithms by incorporating machine/deep learning techniques, particularly convolutional neural networks, into image segmentation.

• Hao Y, Wang T, Zhang X, Duan Y, Yu C, Jiang T, Fan Y, Local Label Learning (LLL) for subcortical structure segmentation: application to hippocampus segmentation, Human Brain Mapping, 35(6): 2674–2697, 2014. PMID:24151008
• Zhu H, Cheng H, Yang X, Fan Y; Alzheimer’s Disease Neuroimaging Initiative. Metric Learning for Multi-atlas based Segmentation of Hippocampus. Neuroinformatics. 2017 Jan;15(1):41-50. doi: 10.1007/s12021-016-9312-y. PMID: 27638650; PMCID: PMC5438876
• Zhao X, Wu Y, Song G, Li Z, Zhang Y, Fan Y, A deep learning model integrating FCNNs and CRFs for brain tumor segmentation, Medical Image Analysis, 43:98-111, 2018 PMID: 29040911
• Zheng Q, Wu Y, Fan Y. Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation. Front Neuroinform. 2018 Oct 10;12:69. doi: 10.3389/fninf.2018.00069. PMID: 30364123; PMCID: PMC6191508
• Zhu H, Tang Z, Cheng H, Wu Y, Fan Y. Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation. Sci Rep. 2019 Nov 14;9(1):16839. doi: 10.1038/s41598-019-53387-9. PMID: 31727982; PMCID: PMC6856174
• Yin S, Peng Q, Li H, Zhang Z, You X, Fischer K, Furth SL Tasian GE, Fan Y, Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks. Med Image Anal. 2020 Feb;60:101602. doi: 10.1016/j.media.2019.101602. Epub 2019 Nov 8. PMID: 31760193
• Li Y, Li H, Fan Y. ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. Med Image Anal. 2021 May;70:101991. doi: 10.1016/j.media.2021.101991. Epub 2021 Feb 7. PMID: 33607514; PMCID: PMC8044013.