Results 41 to 50 of about 112,978 (252)

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Multiscale Feature Extraction and Fusion of Image and Text in VQA

International Journal of Computational Intelligence Systems, 2023
The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly.
Siyu Lu, Yueming Ding, Mingzhe Liu, Zhengtong Yin, Lirong Yin, Wenfeng Zheng   +5 more
doaj   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Evaluating the performance of pixel-based and object-based multidimensional clustering algorithms for automated surface water mapping

Geo-spatial Information Science
Remote sensing observations of surface water are vital for effective water resource management and sustainable development. Unsupervised classification holds promise for automating large-scale surface water detection, and it helps solve the difficult ...
Bohao Li, Kai Liu, Ming Wang, Yanfang Wang, Linmei Zhuang, Weihua Zhu, Chenxia Li, Linhao Zhang, Yanan Chen   +8 more
doaj   +1 more source

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

WKLD-Based Feature Extraction for Diagnosis of Epilepsy Based on EEG

IEEE Access
High-performance automated detection methods for epilepsy play a crucial role in clinical diagnostic support. To address the challenge of effectively extracting features from epileptic EEG signals, characterized by strong spontaneity and complexity, a ...
Haoyang Cai, Ying Yan, Guanting Liu, Jun Cai, Adrian David Cheok, Na Liu, Chengcheng Hua, Jing Lian, Zhiyong Fan, Anqi Chen   +9 more
doaj   +1 more source

Systematic feature analysis on timber defect images

IJAIN (International Journal of Advances in Intelligent Informatics), 2017
Feature extraction is unquestionably an important process in a pattern recognition system. A defined set of features makes the identification task more efficiently. This paper addresses the extraction and analysis of features based on statistical texture
Ummi Rabaah Hashim, Siti Zaiton Mohd Hashim, Azah Kamilah Muda, Kasturi Kanchymalay, Intan Ermahani Abd Jalil, Muhammad Hakim Othman   +5 more
doaj   +1 more source

Biologically Inspired Approaches to Automated Feature Extraction and Target Recognition [PDF]

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04), 2005
Ongoing research at Boston University has produced computational models of biological vision and learning that embody a growing corpus of scientific data and predictions. Vision models perform long-range grouping and figure/ground segmentation, and memory models create attentionally controlled recognition codes that intrinsically combine bottom-up ...
Gail A. Carpenter, Siegfried Martens, Ennio Mingolla, Ogi J. Ogas, Chaitanya Sai Gaddam   +4 more
openaire   +2 more sources

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

Method of Code Features Automated Extraction

Jisuanji kexue yu tansuo, 2021
The application of neural networks in software engineering has greatly eased the pressure of traditional method of extracting code features manually. Previous code feature extraction models usually regard code as natural language or heavily depend on the domain knowledge of experts.
openaire   +1 more source