Results 221 to 230 of about 2,775,880 (287)

Boundary-enhanced sparse transformer for generalizable and accurate medical image segmentation. [PDF]

Sci Rep
Li C, Liu Q, Song J.
europepmc   +1 more source

Quantitative proteomic analysis reveals different characteristics of bladder cancer cells after exposure to bisphenol A

FEBS Open Bio, EarlyView.
Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu, Lanlan Li, Wenjuan Jia, Hanzhong Feng, Xiaoquan Yu, Youli Zhao, Fengzhi Yuan, Hui Ding, Junqiang Tian, Yong‐Xing He, Zhiping Wang   +10 more
wiley   +1 more source

Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET. [PDF]

Hum Brain Mapp
Moon J, Kim S, Chung H, Jang I, Alzheimer's Disease Neuroimaging Initiative.   +4 more
europepmc   +1 more source

SCEAF-UNet: Medical image segmentation based on spatial-channel feature enhancement and adaptive fusion. [PDF]

PLoS One
Zhao L, Chen Y, Wang C, Yu Y.
europepmc   +1 more source

MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation. [PDF]

Bioengineering (Basel)
Shiranthika C, Kafshgari ZH, Hadizadeh H, Saeedi P.   +3 more
europepmc   +1 more source

Clinically Aware Learning: Ordinal Loss Improves Medical Image Classifiers. [PDF]

J Clin Med
Litvinov A, Ushakov E, Senotrusova S, Lukianov K, Markin Y, Mikhailova L, Karpulevich E.   +6 more
europepmc   +1 more source

Edge guided bidirectional iterative network in medical image segmentation. [PDF]

Sci Rep
Peng X, Chen S.
europepmc   +1 more source

Efficient medical image segmentation using RepSegNet lightweight reparameterized neural network. [PDF]

Sci Rep
Juraev R, Kim IM, Yun S, Kang JM.
europepmc   +1 more source