Results 201 to 210 of about 2,018,951 (327)

RadioGuide-DCN: A Radiomics-Guided Decorrelated Network for Medical Image Classification. [PDF]

Bioengineering (Basel)
Guo L, Fu Y, Tan S, Wang Q, Zhang Y, Huang X, Yuan X.   +6 more
europepmc   +1 more source

Dihydroorotate dehydrogenase (DHODH) regulates trophoblast syncytialization through organelle stress–induced cellular senescence

FEBS Open Bio, EarlyView.
The inhibition of mitochondrial dihydroorotate dehydrogenase (DHODH) impairs syncytialization and induces cellular senescence via mitochondrial and endoplasmic reticulum stress in human trophoblast stem cells, elevating sFlt1/PlGF levels, a hallmark of placental dysfunction in hypertensive disorders of pregnancy.
Kanoko Yoshida, Kazuya Kusama, Ayaka Horiuchi, Yu Kawaguchi, Atsuya Tsuru, Mikihiro Yoshie, Kazuhiro Tamura   +6 more
wiley   +1 more source

Integration of AR and deep learning-based image classification using CNN for construction project monitoring. [PDF]

Sci Rep
Fan SL, Lin BY, Wu CT, Youn HY, Recha F, Świerzawski J, Malucha M.   +6 more
europepmc   +1 more source

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source

OpthaNet: Attention-Integrated Architecture for High-Precision Multi-Class Ophthalmic Image Classification. [PDF]

Healthc Technol Lett
Rahman S, Safwan MN, Mahadi MH, Mobin MI, Mridha MF.   +4 more
europepmc   +1 more source

Correction: Anatomical variants of the medial synovial fold of the posterior cruciate ligament: morphological classification based on magnetic resonance imaging of the knee [PDF]

Ali Er, Mustafa Bozdağ, Can Doruk Basa, İsmail Eralp Kaçmaz, Vadym Zhamilov, Ozge Coskun, Oğuzhan Ekizoğlu   +6 more
openalex   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

MedNet: a lightweight attention-augmented CNN for medical image classification. [PDF]

Sci Rep
Ferdous M, Mahmud S, Shimul MEZ.
europepmc   +1 more source

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification. [PDF]

Sci Rep
Chen Y, Lu H, Huang X.
europepmc   +1 more source