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Full-Text Articles in Medicine and Health Sciences
Spatial Frequency Analysis Of Anisotropic Drug Transport In Tumor Samples, Stewart Russell, Kimberley S. Samkoe, Jason R. Gunn, P Jack Hoopes, Thienan A. Nguyen, Milo J. Russell, Robert R. Alfano, Brian W. Pogue
Spatial Frequency Analysis Of Anisotropic Drug Transport In Tumor Samples, Stewart Russell, Kimberley S. Samkoe, Jason R. Gunn, P Jack Hoopes, Thienan A. Nguyen, Milo J. Russell, Robert R. Alfano, Brian W. Pogue
Dartmouth Scholarship
Directional Fourier spatial frequency analysis was used on standard histological sections to identify salient directional bias in the spatial frequencies of stromal and epithelial patterns within tumor tissue. This directional bias is shown to be correlated to the pathway of reduced fluorescent tracer transport. Optical images of tumor specimens contain a complex distribution of randomly oriented aperiodic features used for neoplastic grading that varies with tumor type, size, and morphology. The internal organization of these patterns in frequency space is shown to provide a precise fingerprint of the extracellular matrix complexity, which is well known to be related to the …
Contourlet Textual Features: Improving The Diagnosis Of Solitary Pulmonary Nodules In Two Dimensional Ct Images, Jingjing Wang, Tao Sun, Ni Gao, Desmond D. Menon, Yanxia Luo, Qi Gao, Xia Li, Wei Wang, Huiping Zhu, Pingxin Lv, Zhigang Liang, Lixin Tao, Xiangtong Liu, Xiuhua Guo
Contourlet Textual Features: Improving The Diagnosis Of Solitary Pulmonary Nodules In Two Dimensional Ct Images, Jingjing Wang, Tao Sun, Ni Gao, Desmond D. Menon, Yanxia Luo, Qi Gao, Xia Li, Wei Wang, Huiping Zhu, Pingxin Lv, Zhigang Liang, Lixin Tao, Xiangtong Liu, Xiuhua Guo
Research outputs 2014 to 2021
Materials and Methods: A total of 6,299 CT images were acquired from 336 patients, with 1,454 benign pulmonary nodule images from 84 patients (50 male, 34 female) and 4,845 malignant from 252 patients (150 male, 102 female). Further to this, nineteen patient information categories, which included seven demographic parameters and twelve morphological features, were also collected. A contourlet was used to extract fourteen types of textural features. These were then used to establish three support vector machine models. One comprised a database constructed of nineteen collected patient information categories, another included contourlet textural features and the third one contained both …
Cervical Cancer Histology Image Feature Extraction And Classification, Peng Guo
Cervical Cancer Histology Image Feature Extraction And Classification, Peng Guo
Masters Theses
"Cervical cancer, the second most common cancer affecting women worldwide and the most common in developing countries can be cured if detected early and treated. Expert pathologists routinely visually examine histology slides for cervix tissue abnormality assessment. In previous research, an automated, localized, fusion-based approach was investigated for classifying squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN) based on image analysis of 62 digitized histology images obtained through the National Library of Medicine. In this research, CIN grade assessments from two pathologists are analyzed and are used to facilitate atypical cell concentration feature development …