Results 91 to 100 of about 732,251 (333)

IMAGE SEGMENTATION USING MULTIWAVELET TRANSFORM

Journal of Engineering, 2010
This paper presents region growing image segmentation method which unifies region and boundary information. Several studies shown that segmentation based on image features can improve the accuracy of the interpretation.
Manal Fadel Younis
doaj   +1 more source

TRPM8 levels determine tumor vulnerability to channel agonists

Molecular Oncology, EarlyView.
TRPM8 is a Ca2+ permissive channel. Regardless of the amount of its transcript, high levels of TRPM8 protein mark different tumors, including prostate, breast, colorectal, and lung carcinomas. Targeting TRPM8 with channel agonists stimulates inward calcium currents followed by emptying of cytosolic Ca2+ stores in cancer cells.
Alessandro Alaimo, Francesco Giuseppe Carbone, Kristi Buzo, Nicole Annesi, Sacha Genovesi, Annalisa Lorenzato, Karen Widmann, Michela Libergoli, Elisa Marmocchi, Giovanni Bertalot, Alberto Brolese, Mauro Giulio Papotti, Luca Molinaro, Orazio Caffo, Mattia Barbareschi, Alberto Bardelli, Alessandro Romanel, Sabrina Arena, Andrea Lunardi   +18 more
wiley   +1 more source

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

IEEE Access
Recent studies have explored image segmentation for landmark detection in computer vision and medical imaging of the lower limb, showing promising results.
Sebastian Amador Sanchez, Ashkan Zarghami, Philippe van Overschelde, Jef Vandemeulebroucke   +3 more
doaj   +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

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

Molecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song, Ting Liu, Qishan Hao, Qiuyun Fang, Xiaoyuan Gong, Yan Li, Zheng Tian, Hui Wei, Min Wang, Jianxiang Wang, Tao Cheng, Yingchang Mi   +11 more
wiley   +1 more source

Fuzzy clustering based transition region extraction for image segmentation

Engineering Science and Technology, an International Journal, 2018
Transition region based approaches are recent hybrid segmentation techniques well known for its simplicity and effectiveness. Here, the segmentation effectiveness depends on the robust extraction of transition regions.
Priyadarsan Parida, Nilamani Bhoi
doaj   +1 more source

Analysis of fuzzy clustering and a generic fuzzy rule-based image segmentation technique

, 2001
Many fuzzy clustering based techniques when applied to image segmentation do not incorporate spatial relationships of the pixels, while fuzzy rule-based image segmentation techniques are generally application dependent. Also for most of these techniques,
Dooley, Laurence S., Karmakar, Gour C.
core  

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   +2 more sources

An Adaptive Color Image Segmentation

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2006
A novel Adaptive Color Image Segmentation (ACIS) System for color image segmentation is presented. The proposed ACIS system uses a neural network with architecture similar to the multilayer perceptron (MLP) network. The main difference is that neurons here uses a multisigmoid activation function.
Deshmukh, K. S., Shinde, G. N.
openaire   +7 more sources

The subcellular distribution of phosphorylated Y‐box‐binding protein‐1 at S102 in colorectal cancer patients, stratified by KRAS mutational status and clinicopathological features

Molecular Oncology, EarlyView.
This study identifies nuclear YB‐1 S102 phosphorylation as a marker associated with KRAS and FBXW7 mutations in colorectal cancer. Mutated KRAS correlates specifically with nuclear, not cytoplasmic, S102 YB‐1. These findings provide the first ex vivo evidence of this link in CRC and suggest future studies should assess the prognostic and therapeutic ...
Konstanze Lettau, Stephan Forchhammer, Birgit Fehrenbacher, Lejla Mahmutovic, Marcus Scharpf, Gunnar Blumenstock, Martin Schaller, Irina Bonzheim, Shayan Khozooei, Mahmoud Toulany   +9 more
wiley   +1 more source