Results 81 to 90 of about 46,171 (307)

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

Yielding Multi-Fold Training Strategy for Image Classification of Imbalanced Weeds

Applied Sciences, 2021
An imbalanced dataset is a significant challenge when training a deep neural network (DNN) model for deep learning problems, such as weeds classification.
Vo Hoang Trong, Yu Gwang Hyun, Kim Jin Young, Pham The Bao   +3 more
doaj   +1 more source

Replication package for comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset. A study of God class

, 2022
Replication package for "A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God ...
Alkharabsheh, Khalid, Taboada González, José A., Kebande, Victor R., Fernández Delgado, Manuel, Crespo González Carvajal, Yania, Alawadi, Sadi   +5 more
core   +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

Maturity Classification of “Hupingzao” Jujubes with an Imbalanced Dataset Based on Improved MobileNet V2

Agriculture, 2022
Fruits with various maturity levels coexist among the harvested jujubes, and have different tastes and uses. Manual grading has a low efficiency and a strong subjectivity. The number of “Hupingzao” jujubes between different maturity levels is unbalanced,
Haixia Sun, Shujuan Zhang, Rui Ren, Liyang Su   +3 more
doaj   +1 more source

Machine Learning Shrewd Approach For An Imbalanced Dataset Conversion Samples [PDF]

, 2020
The imbalance data applies to at least one of the classes, which are typically exceeded by the other ones. The Machine Learning Algorithm (Classifier) trained with an imbalance dataset predicts the majority class (frequently occurring) ‎more than the ...
Ahmed, T., Ashraf, S.; College of Internet of Things Engineering   +1 more
core  

HCAB-SMOTE: A Hybrid Clustered Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification

, 2020
Binary datasets are considered imbalanced when one of their two classes has less than 40% of the total number of the data instances (i.e., minority class).
Ulukok, Mehtap Kose, Elgedawy, Islam, Al Majzoub, Hisham, Akaydin, Oyku   +3 more
core   +1 more source

Classification of typical algorithms for imbalanced sampling and representative literature.

, 2021
Classification of typical algorithms for imbalanced sampling and representative literature.
Chang Wang (328274), Yingshi Guo (830122), Fuwei Wu (8561895), Mingyang Deng (504326)   +3 more
core   +1 more source

Survey on highly imbalanced multi-class data [PDF]

, 2022
Machine learning technology has a massive impact on society because it offers solutions to solve many complicated problems like classification, clustering analysis, and predictions, especially during the COVID-19 pandemic.
Abdul Hamid, Mohd Hakim, Mohamed, Azlinah, Yusoff, Marina   +2 more
core   +1 more source

Erythropoietin modulates hepatic inflammation, glucose homeostasis, and soluble epoxide hydrolase and epoxides in high‐fat diet‐induced obese mice

FEBS Open Bio, EarlyView.
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda, Satoru Sugimoto, Chiharu Cho, Madoka Konishi, Nozomi Inoue, Satoshi Miyagaki, Yasuhiro Kawabe, Takuro Okamura, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Masakazu Shinohara, Tomoko Iehara   +12 more
wiley   +1 more source