Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Almas F. Abbasi"'
Vector textures derived from higher order derivative domains for classification of colorectal polyps
Autor:
Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Almas F. Abbasi, Perry J. Pickhardt, Hongbing Lu
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-14 (2022)
Abstract Textures have become widely adopted as an essential tool for lesion detection and classification through analysis of the lesion heterogeneities. In this study, higher order derivative images are being employed to combat the challenge of the
Externí odkaz:
https://doaj.org/article/a78d2f730e00491e8f101826466f49ca
Autor:
Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt, Zhengrong Liang
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 2, Iss 1, Pp 1-12 (2019)
Abstract Texture features have played an essential role in the field of medical imaging for computer-aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has emerged to become one of the most successful feature sets fo
Externí odkaz:
https://doaj.org/article/c5fcc9c7ca4e467c8b3be4680bf9746b
Autor:
Weiguo Cao, Marc J. Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt
Publikováno v:
Sensors, Vol 22, Iss 3, p 907 (2022)
Objective: As an effective lesion heterogeneity depiction, texture information extracted from computed tomography has become increasingly important in polyp classification. However, variation and redundancy among multiple texture descriptors render a
Externí odkaz:
https://doaj.org/article/ee2e93f290234b67b994a02bf8514574
Autor:
Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, Perry J. Pickhardt, Almas F. Abbasi, Jela Bandovic, Zhengrong Liang
Publikováno v:
Medical Imaging 2022: Computer-Aided Diagnosis.
Autor:
Jiaxing Tan, Matthew A. Barish, Zhengrong Liang, Perry J. Pickhardt, Almas F. Abbasi, Weiguo Cao, Yongfeng Gao, Marc J. Pomeroy, Yumei Huo, Lihong Li
Publikováno v:
IEEE Trans Med Imaging
Accurately classifying colorectal polyps, or differentiating malignant from benign ones, has a significant clinical impact on early detection and identifying optimal treatment of colorectal cancer. Convolution neural network (CNN) has shown great pot
Autor:
Perry J. Pickhardt, Matthew A. Barish, Marc J. Pomeroy, Almas F. Abbasi, Weiguo Cao, Yongfeng Gao, Zhengrong Liang
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 2, Iss 1, Pp 1-12 (2019)
Visual Computing for Industry, Biomedicine and Art
Visual Computing for Industry, Biomedicine and Art
Texture features have played an essential role in the field of medical imaging for computer-aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has emerged to become one of the most successful feature sets for these a
Autor:
Weiguo Cao, Marc J. Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt
Publikováno v:
Sensors, Vol 22, Iss 907, p 907 (2022)
Sensors; Volume 22; Issue 3; Pages: 907
Sensors; Volume 22; Issue 3; Pages: 907
Objective: As an effective lesion heterogeneity depiction, texture information extracted from computed tomography has become increasingly important in polyp classification. However, variation and redundancy among multiple texture descriptors render a
Vector textures derived from higher order derivative domains for classification of colorectal polyps
Autor:
Weiguo Cao, Marc J. Pomeroy, Zhengrong Liang, Almas F. Abbasi, Perry J. Pickhardt, Hongbing Lu
Publikováno v:
Visual computing for industry, biomedicine, and art. 5(1)
Textures have become widely adopted as an essential tool for lesion detection and classification through analysis of the lesion heterogeneities. In this study, higher order derivative images are being employed to combat the challenge of the poor cont
Autor:
Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, Almas F. Abbasi, Jela Bandovic, Perry J. Pickhardt, Zhengrong Liang
Publikováno v:
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Autor:
Perry J. Pickhardt, Weiguo Cao, Yongfeng Gao, Marc J. Pomeroy, Fangfang Han, Zhengrong Liang, Almas F. Abbasi
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Malignant lesions have a high tendency to invade their surrounding environment compared to benign ones. This paper proposes a dynamic lesion model and explores the 2nd order derivatives at each image voxel, which reflect the rate of change of image i