Results 101 to 110 of about 488,489 (323)

A Segmentation Algorithm for Noisy Images [PDF]

, 2005
This paper presents a segmentation algorithm for gray-level images and addresses issues related to its performance on noisy images. It formulates an image segmentation problem as a partition of a weighted image neighborhood hypergraph. To overcome the computational difficulty of directly solving this problem, a multilevel hypergraph partitioning has ...
Rital, Soufiane, Miguet, Serge, Cherifi, Hocine   +2 more
openaire   +5 more sources

Hydrophobicity causes anomalous migration of cystine/glutamate antiporter SLC7A11 in SDS‐PAGE with low acrylamide concentration

FEBS Open Bio, EarlyView.
SLC7A11 frequently migrates faster in SDS‐PAGE. The present study found that the high hydrophobicity of SLC7A11 causes its anomalous migration in SDS‐PAGE with a low concentration of acrylamide gel. Replacing isoleucine with asparagine reduced hydrophobicity and restored its normal migration at 55 kDa, revealing the role of hydrophobicity and gel ...
Nsengiyumva Emmanuel, Qian He, Yixin Kang, Dianbao Zhang, Min Gao, Minglin Wang, Kexin Fan, Jingwen Xiong, Shaobo Wu, Botao Fa, Zhengtao Xiao, Yingfang Niu, Jun Yao, Yilei Zhang   +13 more
wiley   +1 more source

Integrating Semi-supervised and Supervised Learning Methods for Label Fusion in Multi-Atlas Based Image Segmentation

Frontiers in Neuroinformatics, 2018
A novel label fusion method for multi-atlas based image segmentation method is developed by integrating semi-supervised and supervised machine learning techniques.
Qiang Zheng, Qiang Zheng, Qiang Zheng, Yihong Wu, Yong Fan   +4 more
doaj   +1 more source

A New Approach to Lung Image Segmentation using Fuzzy Possibilistic C-Means Algorithm [PDF]

IJCSIS, Vol. 7 No. 3, March 2010, 222-228, 2010
Image segmentation is a vital part of image processing. Segmentation has its application widespread in the field of medical images in order to diagnose curious diseases. The same medical images can be segmented manually. But the accuracy of image segmentation using the segmentation algorithms is more when compared with the manual segmentation.
arxiv  

Interactive image segmentation [PDF]

, 2019
The state-of-the-art single-image interactive segmentation algorithms are sensitive to the user inputs and often not able to produce accurate cutting contour with one-shot user input. They frequently rely on laborious user editing to refine the segmentation boundary.
openaire   +3 more sources

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

Aging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal, Abhimanyu Chiraparambil Radhakrishnan, Ayanchetty Haripraba, Saif Syed, Gajawada Pragna, Ayush Dwivedi, Akash Rawat, Daniela Castro Calderón, Martin Cevallos‐Cueva   +8 more
wiley   +1 more source

Integrating semi-supervised label propagation and random forests for multi-atlas based hippocampus segmentation [PDF]

arXiv, 2017
A novel multi-atlas based image segmentation method is proposed by integrating a semi-supervised label propagation method and a supervised random forests method in a pattern recognition based label fusion framework. The semi-supervised label propagation method takes into consideration local and global image appearance of images to be segmented and ...
arxiv  

HARDWARE REALIZATION OF CANNY EDGE DETECTION ALGORITHM FOR UNDERWATER IMAGE SEGMENTATION USING FIELD PROGRAMMABLE GATE ARRAYS [PDF]

Journal of Engineering Science and Technology, 2017
Underwater images raise new challenges in the field of digital image processing technology in recent years because of its widespread applications. There are many tangled matters to be considered in processing of images collected from water medium due to ...
ALEX RAJ S. M., CLARIS JOSE, SUPRIYA M. H.   +2 more
doaj  

Segment anything in medical images

Nature Communications
AbstractMedical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modalities or disease types, lack generalizability across the diverse spectrum of medical image segmentation tasks.
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, Bo Wang   +5 more
openaire   +4 more sources

STUDY OF IMAGE SEGMENTATION METHODS WITH MRI IMAGES [PDF]

Journal of Mechanics of Continua and Mathematical Sciences
Digital image processing is the use of a digital computer to process digital images. Image processing transforms input images into digital form for certain operations to obtain useful information.
Mohanapriya G., Muthukumar S., Santhosh Kumar S.   +2 more
doaj   +1 more source