Results 231 to 240 of about 82,164 (262)

Transfer Learning-Based Ensemble of CNNs and Vision Transformers for Accurate Melanoma Diagnosis and Image Retrieval. [PDF]

Diagnostics (Basel)
Sarıateş M, Özbay E.
europepmc   +1 more source

PEDOT:PSS—A Key Material for Bioelectronics

Advanced Science, EarlyView.
PEDOT:PSS ‐ Poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate ‐ is typically processed from water dispersions to form multifunctional and multidimensional constructs with tunable electronic and ionic conductivity. Throught processing engineering, PEDOT:PSS is intergrated in bioelectronic devices that operate efficiently in physiological conditions
Alan Eduardo Ávila Ramírez, David Pieter van der Laan, Mustafeez Bashir Shah, Liwen Wang, Erica Zeglio, Achilleas Savva   +5 more
wiley   +1 more source

Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields. [PDF]

Brain Sci
Su J, Xing L, Li T, Xiang N, Shi J, Jin D.   +5 more
europepmc   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Leveraging vision transformers and entropy-based attention for accurate micro-expression recognition. [PDF]

Sci Rep
Zhang Y, Lin W, Zhang Y, Xu J, Xu Y.
europepmc   +1 more source

Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities

Advanced Science, EarlyView.
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen, Yifei Ren, Lijie Hu, Yanyan Li, Wenyue Liang, Jin Wang, Han Gao, Xinhai Wang, Jiajun Li, Qiutao He, Yingfeng Zhu, Haifeng Hu, Qiwen Zhan, Imed Gallouzi, Jasmeen Merzaban, Di Wang, Zunguo Du, Xiaodong Gu, Qiaoqiang Gan   +18 more
wiley   +1 more source

Comparative analysis of convolutional neural networks and vision transformers in identifying benign and malignant breast lesions. [PDF]

Medicine (Baltimore)
Wang L, Fang S, Chen X, Pan C, Meng M.
europepmc   +1 more source

Vision Transformers in Medical Imaging: a Comprehensive Review of Advancements and Applications Across Multiple Diseases. [PDF]

J Imaging Inform Med
Aburass S, Dorgham O, Al Shaqsi J, Abu Rumman M, Al-Kadi O.   +4 more
europepmc   +1 more source

Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers. [PDF]

J Imaging
Boudraa M, Bennour A, Nahas M, Marie RR, Al-Sarem M.   +4 more
europepmc   +1 more source