Results 101 to 110 of about 41,653,367 (301)

Better Skeleton Better Readability: Scene Text Image Super-Resolution via Skeleton-Aware Diffusion Model

IEEE Access
Scene text image super-resolution (STISR) aims to enhance the resolution of text images while simultaneously improving their readability by reducing noise, blur, and other degradations. Existing diffusion-based approaches for STISR primarily rely on text-
Shrey Singh, Prateek Keserwani, Partha Pratim Roy, Rajkumar Saini   +3 more
doaj   +1 more source

End-to-end scene text detection and recognition algorithm based on Transformer decoders

Tongxin xuebao, 2023
Aiming at the detection and recognition task of arbitrary shape text in scene, a novelty scene text detection and recognition algorithm which could be trained by end-to-end algorithm was proposed.Firstly, the detection branch of text aware module based ...
Jinzhi ZHENG, Ruyi JI, Libo ZHANG, Chen ZHAO   +3 more
doaj  

Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up

Molecular Oncology, EarlyView.
This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani, Laura Mariën, Caro De Weerdt, Sanne Wouters, Laure‐Anne Teuwen, Hans Prenen, Katleen Janssens, Timon Vandamme   +7 more
wiley   +1 more source

Leveraging Arabic Text Embedded in Images: Challenges and Opportunities in NLP Analysis

Journal of Intelligent Systems and Applied Data Science
While recent advances in scene text recognition have blossomed, research has primarily focused on languages utilizing Latin scripts, neglecting languages with unique characteristics like Arabic.
AWS ABU EID, Achraf Ben Miled, Ashraf F. A. Mahmoud, Faroug A. Abdalla, Chams Jabnoun, Aida Dhibi, Firas M. Allan, Mohammed Ahmed Elhossiny, Imen Ben Mohamed, Marwa A. I. Elghazawy, Majid A. Nawaz, Salem Belhaj   +11 more
doaj  

Text+ Plenary 2024: Call for Posters

Das 3. Plenary von Text+ widmet sich am 10.+11. Oktober 2024 dem Thema „Large Language Models (LLMs) und deren Nutzung“. Für diejenigen, die sich bisher nicht mit den Hintergründen von LLMs beschäftigt haben, gibt es die Möglichkeit, am Nachmittag vor ...
Text+ Blog-Redaktion
core   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Single-Character-Based Embedding Feature Aggregation Using Cross-Attention for Scene Text Super-Resolution

Sensors
In textual vision scenarios, super-resolution aims to enhance textual quality and readability to facilitate downstream tasks. However, the ambiguity of character regions in complex backgrounds remains challenging to mitigate, particularly the ...
Meng Wang, Qianqian Li, Haipeng Liu
doaj   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Intelligent Logistics Sorting Technology Based on PaddleOCR and SMITE Parameter Tuning

Applied Sciences
To address the current reliance on manual labor in traditional logistics sorting operations, which leads to low sorting efficiency and high operational costs, this study presents the design of an unmanned logistics vehicle based on the Robot Operating ...
Zhaokun Yang, Yue Li, Lizhi Sun, Yufeng Qiu, Licun Fang, Zibin Hu, Shouna Guo   +6 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source