Results 71 to 80 of about 223,210 (262)

Hesitant Neural Gas for Supervised and Semi-supervised Classification [PDF]

, 2013
Neural Gas is a neural network algorithm for vector quantization. It has not arbitrary established network topology, instead its topology is changing dynamically during training process. Originally, the Neural Gas is an unsupervised algorithm. However, there are several extensions that enables Neural Gas to use the information about sample’s class ...
Piotr Plonski, Krzysztof Zaremba
openaire   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source

Self-supervised transfer learning for few-shot classification on marine plankton images

Frontiers in Marine Science
The classification of marine plankton images is of great significance in ecological studies and environmental monitoring. In practical applications, plankton image classification faces several challenges, including sample imbalance, distinguishing ...
Xuxiang Zhong, Yingzhen Lin, Zhenghui Feng, Feng Ling   +3 more
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Supervised hyperspectral image classification with rejection

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Hyperspectral image classification is a challenging problem as obtaining complete and representative training sets is costly, pixels can belong to unknown classes, and it is generally an ill-posed problem. The need to achieve high classification accuracy may surpass the need to classify the entire image.
Filipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic   +2 more
openaire   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

Molecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel, Izabela Kubiak, Lena Rutkowska, Żaneta Kasprzyk, Łukasz Kępczyński, Michał Bednarek, Dariusz Sobieraj, Jacek Wilkosz, Piotr Kania, Adam Jędrzejczyk, Bogdan Kałużewski, Agnieszka Gach, Tadeusz Kałużewski   +12 more
wiley   +1 more source

Comparison of spatial classification rules with different conditional distributions of class label

Nonlinear Analysis, 2014
In this paper spatial classification rules based on Bayes discriminant functions are considered. The novelty of this work is that the statistical supervised classification method is improved by extending the influence of spatial correlation between ...
Giedrius Stabingis, Kęstutis Dučinskas, Lijana Stabingienė   +2 more
doaj   +1 more source

A self-supervised classification model for endometrial diseases. [PDF]

J Cancer Res Clin Oncol, 2023
Fang Y, Wei Y, Liu X, Qin L, Gao Y, Yu Z, Xu X, Cha G, Zhu X, Wang X, Xu L, Cao L, Chen X, Jiang H, Zhang C, Zhou Y, Zhu J.   +16 more
europepmc   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Investigation of classification of support vector machine on the estimation of the deciduous broad-leaved forests area in the north of Iran

Temas Agrarios
During the last decades, Caspian forests have been attacked by human interference. Easy access, abundance and diversity of valuable forest products have led to the increase in population density, the creation of new residential areas and the activity of ...
Mohammadreza Tabesh, Seyed Armin Hashemi, Sahar Tabibian, Mohsen Abbasipour, Maghsood Hosseini   +4 more
doaj   +1 more source