Results 151 to 160 of about 17,809,971 (305)
Uncertainty Quantification in Medical Image Segmentation: A Comprehensive Survey. [PDF]
Ziaee SS, Ovens K.
europepmc +1 more source
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
WVM-UNet: A Wavelet-Vision Mamba Framework for Enhanced Medical Image Segmentation. [PDF]
Yang Y, Gao W, Wu Z, Yang C.
europepmc +1 more source
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington +10 more
wiley +1 more source
Deep learning for medical image analysis /
"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts ...
Zhou, S. Kevin,editor. +2 more
core
TransCat: a hybrid CNN-transformer network with KAN for medical image segmentation. [PDF]
Wang J +5 more
europepmc +1 more source
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
A Review of Deep Learning Methods for Multimodal Medical Image Fusion. [PDF]
Shi Y, Rigou M.
europepmc +1 more source

