Results 101 to 110 of about 71,774 (244)

Locally adaptive combining colour and depth for human body contour tracking using level set method

IET Computer Vision, 2014
In this study, the authors present a novel human body contour tracking method which adaptively combines colour and depth cues of RGB‐D images in level set framework. The authors model the body object by active contour.
Yuhua Xu, Mao Ye, Zunhua Tian, Xiaohu Zhang   +3 more
doaj   +1 more source

Semi-supervised COVID-19 volumetric pulmonary lesion estimation on CT images using probabilistic active contour and CNN segmentation. [PDF]

Biomed Signal Process Control, 2023
Rodriguez-Obregon DE, Mejia-Rodriguez AR, Cendejas-Zaragoza L, Gutiérrez Mejía J, Arce-Santana ER, Charleston-Villalobos S, Aljama-Corrales T, Gabutti A, Santos-Díaz A.   +8 more
europepmc   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Development of methods for the processing of mining images using genetic algorithms [PDF]

Acta Montanistica Slovaca, 2012
In this paper we describe the extension of system FOTOM capabilities with respect to segmentation of specific mining images.We focus on methods that are inherently resistant against noise present in experimental pit at VSB Technical University.
Radim Farana, Tomáš Fabián, Marek Babiuch, Lačezar Ličev   +3 more
doaj  

A Method for Extracting Suspected Parotid Lesions in CT Images using Feature-based Segmentation and Active Contours based on Stationary Wavelet Transform

Measurement Science Review, 2013
Automatic suspected lesion extraction is an important application in computer-aided diagnosis (CAD). In this paper, we propose a method to automatically extract the suspected parotid regions for clinical evaluation in head and neck CT images.
Wu T. Y., Lin S. F.
doaj   +1 more source

Initial Geometrical Templates with Parameter Sets for Active Contour on Skin Cancer Boundary Segmentation. [PDF]

J Healthc Eng, 2021
Bumrungkun P, Chamnongthai K, Patchoo W.
europepmc   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

A Partition-Based Active Contour Model Incorporating Local Information for Image Segmentation

The Scientific World Journal, 2014
Active contour models are always designed on the assumption that images are approximated by regions with piecewise-constant intensities. This assumption, however, cannot be satisfied when describing intensity inhomogeneous images which frequently occur ...
Jiao Shi, Jiaji Wu, Anand Paul, Licheng Jiao, Maoguo Gong   +4 more
doaj   +1 more source

The neural crest‐associated gene ERRFI1 is involved in melanoma progression and resistance toward targeted therapy

Molecular Oncology, EarlyView.
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang, Qian Sun, Daniel Novak, Lei Zhu, Juliane Poelchen, Tamara Steinfass, Yiman Wang, Viktor Umansky, Jochen Utikal   +8 more
wiley   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source