Results 131 to 140 of about 2,018,951 (327)

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Construction of a painting image classification model based on AI stroke feature extraction

Journal of Intelligent Systems
A large number of digital painting image resources cannot be directly converted into electronic form due to their differences in painting techniques and poor preservation of paintings.
Hu Bowen, Yang Yafei
doaj   +1 more source

Review of Image Classification Algorithms Based on Convolutional Neural Networks [PDF]

, 2021
Leiyu Chen, Shaobo Li, Qiang Bai, Jing Yang, Sanlong Jiang, Yanming Miao   +5 more
openalex   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

ReX: An Efficient Approach to Reducing Memory Cost in Image Classification

, 2022
Xuwei Qian, Renlong Hang, Qingshan Liu
openalex   +2 more sources

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Semi‐supervised domain adaptation via subspace exploration

IET Computer Vision
Recent methods of learning latent representations in Domain Adaptation (DA) often entangle the learning of features and exploration of latent space into a unified process.
Zheng Han, Xiaobin Zhu, Chun Yang, Zhiyu Fang, Jingyan Qin, Xucheng Yin   +5 more
doaj   +1 more source

ResNet-50-NTS digital painting image style classification based on Three-Branch convolutional attention

Egyptian Informatics Journal
Addressing the difficulties and challenges faced by current traditional digital painting image style classification methods, the study enhances the residual neural network model by incorporating a three-branch convolutional attention mechanism ...
Xiaohong Wang, Qian Ye, Lei Liu, Haitao Niu, Bangbang Du   +4 more
doaj   +1 more source

Alzheimer’ disease prediction and classification using CT images through machine learning

, 2023
R. Akhilesh Reddy, Rama KRISHNA
openalex   +2 more sources

Analysis of learnability of a novel hybrid quantum–classical convolutional neural network in image classification [PDF]

, 2023
Tao 涛 Cheng 程, Run-Sheng Zhao, Shuang 爽 Wang 王, Rui 睿 Wang 王, Hong-Yang 鸿洋 Ma 马   +4 more
openalex   +1 more source