Results 51 to 60 of about 483,454 (329)
Background Preoperative identification of rectal cancer lymph node status is crucial for patient prognosis and treatment decisions. Rectal magnetic resonance imaging (MRI) plays an essential role in the preoperative staging of rectal cancer, but its ...
Yang Zhou +7 more
doaj +1 more source
Co-occurrence histogram based ensemble of classifiers for classification of cervical cancer cells
To explore the potential of conventional image processing techniques in the classification of cervical cancer cells, in this work, a co-occurrence histogram method was employed for image feature extraction and an ensemble classifier was developed by ...
Rajesh Yakkundimath +3 more
doaj +1 more source
β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero +8 more
wiley +1 more source
Colour Transfer by Feature Based Histogram Registration [PDF]
This paper addresses the problem of automatically eliminating unwanted colour variation between similar image pairs. We propose a feature-based registration method to align colour histograms without any spatial processing of the image content or assumptions about the scene contents. We use the method for the colour transfer problem.
C. R. Senanayake, D. C. Alexander
openaire +1 more source
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Improving Malware Detection Accuracy by Extracting Icon Information
Detecting PE malware files is now commonly approached using statistical and machine learning models. While these models commonly use features extracted from the structure of PE files, we propose that icons from these files can also help better predict ...
Akhavan-Masouleh, Sepehr +2 more
core +1 more source
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
The Image Retrieval Method Based on the Homolographic Block Color Histogram
An image retrieval method based on the homolographic block color histogram was proposed in this paper. Firstly, the selection of color space and color quantity method was introduced. Then, the new features extracting method was given out. When describing
G.W. Xu, L.N. Xu, X.M. Li, W.J. Qi
doaj +1 more source
Histograms of Points, Orientations, and Dynamics of Orientations Features for Hindi Online Handwritten Character Recognition [PDF]
Anand Sharma, A. G. Ramakrishnan
openalex +1 more source
Manipulating Highly Deformable Materials Using a Visual Feedback Dictionary
The complex physical properties of highly deformable materials such as clothes pose significant challenges fanipulation systems. We present a novel visual feedback dictionary-based method for manipulating defoor autonomous robotic mrmable objects towards
Hu, Zhe +3 more
core +1 more source

