Results 171 to 180 of about 295,660 (323)

FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net [PDF]

, 2019
Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen   +6 more
openalex   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net [PDF]

, 2018
Yueyue Wang, Liang Zhao, Zhijian Song, Manning Wang   +3 more
openalex   +1 more source

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

Molecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni, Antonella Palmese, Stefano Scalera, Laura Cipriani, Davide Mascolo, Patrizia Vici, Teresa Arcuri, Lorena Filomeno, Eriseld Krasniqi, Giovanni Blandino, Giulia Bon, Marcello Maugeri‐Saccà   +11 more
wiley   +1 more source

SBM-Attention U-Net: A Hybrid Transformer Network for Liver Tumor Segmentation in Medical Images. [PDF]

Sensors (Basel)
Chen Y, Li X, Du Y, Jiang H, Liu X, Ma N, Wang X.   +6 more
europepmc   +1 more source

Pso-Unetmis: A Particle Swarm Optimization Intelligence-Driven U-Net for Faster and More Reliable Medical Image Segmentation

Michael T. Lee, Phu Thai Ngo
openalex   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Federated lung nodule segmentation using a hybrid transformer-U-Net architecture. [PDF]

Sci Rep
Turjya SM, Fawakherji M.
europepmc   +1 more source

The Role of U-Net Variants in Semantic Segmentation of Remote Sensing Images: A Survey

Yu Liu
openalex   +1 more source

A multi-task U-net for segmentation with lazy labels [PDF]

, 2019
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola‐Bibiane Schönlieb   +4 more
openalex