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pro vyhledávání: '"Se-Hyung, Kim"'
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Colorectal cancer is the second leading cause of cancer deaths worldwide. Computed tomographic colonography (CTC) can detect large colorectal polyps and cancers at a high sensitivity, whereas it can miss some of the smaller but still clinically signi
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
We developed a novel electronic cleansing (EC) method for dual-energy CT colonography (DE-CTC) based on an ensemble deep convolution neural network (DCNN) and multi-spectral multi-slice image patches. In the method, an ensemble DCNN is used to classi
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
CT colonography (CTC) uses orally administered fecal-tagging agents to enhance retained fluid and feces that would otherwise obscure or imitate polyps on CTC images. To visualize the complete region of colon without residual materials, electronic cle
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Computer-aided detection (CAD) systems for computed tomographic colonography (CTC) tend to miss many flat lesions. We developed a volumetric method for automated detection of lesions with dual-energy CTC (DECTC). The target region for the detection i
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Conventional single-energy computed tomography colonography (CTC) tends to miss polyps 6 - 9 mm in size and flat lesions. Dual-energy CTC (DE-CTC) provides more complete information about the chemical composition of tissue than does conventional CTC.
Publikováno v:
SPIE Proceedings.
Aim: To investigate effects of low level laser therapy (LLLT) on hair cell regeneration following gentamicin ototoxicity in organotypic culture of rat cochlea. Methods: Organotypic cultures of cochlea in culture medium were allowed to grow for 17 day
Autor:
Namkug Kim, Kwang Gi Kim, Jong Hyo Kim, Jin Young Choi, Jong-Mo Seo, June-Goo Lee, Se Hyung Kim
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Hessian matrix is the square matrix of second partial derivatives of a scalar-valued function and is well known for object recognition in computer vision and medical shape analysis. Previous curvature based polyp detection algorithms generate myriad