Results 91 to 100 of about 154,547 (310)

Segmentation of Thai handwritten text for automatic document retrieval

, 2008
There is a huge amount of documents in Thai government organizations. Although automatic document image retrieval systems in English have been proposed and developed, there are no specific system which is capable to retrieve relevant information from ...
Fung, C.C., Chamchong, R.
core   +1 more source

A comprehensive study of ImageNet pre-training for historical document image analysis

, 2019
Automatic analysis of scanned historical documents comprises a wide range of image analysis tasks, which are often challenging for machine learning due to a lack of humanannotated learning samples. With the advent of deep neural networks, a promising way
Kolonko, Thomas, Fischer, Andreas,, Ingold, Rolf, Alberti, Michele,, Linda Studer, Liwicki, Marcus, Michele Alberti, Studer, Linda,, Rolf Ingold, Pinar Goktepe, Liwicki, Marcus,, Thomas Kolonko, Pondenkandath, Vinaychandran,, Goktepe, Pinar, Vinaychandran Pondenkandath, Marcus Liwicki, Kolonko, Thomas,, Fischer, Andreas, Alberti, Michele, Pondenkandath, Vinaychandran, Ingold, Rolf,, Andreas Fischer, Studer, Linda, Goktepe, Pinar,   +23 more
core   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

A Printed PAW Image Database of Arabic Language for Document Analysis and Recognition

Journal of ICT Research and Applications, 2017
Document image analysis and recognition are important topics in the field of artificial intelligence. In this context, the availability of a database with good script samples is an important requirement for machine-learning processes. For Latin and Asian
Bilal Bataineh
doaj   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

Molecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang, Ayesha Alvero, Yi Qin, Mingjin Wang, Alexandra Fox, Yanfeng Li, Michael Millman, Amy Kemper, Gil Mor, Xian Shuang Liu, Michael Chopp, Zheng Gang Zhang, Yi Zhang   +12 more
wiley   +1 more source

A Deep Learning-Based Approach for Part of Speech (PoS) Tagging in the Pashto Language

IEEE Access
A fundamental task in natural language processing (NLP) is part of speech (PoS) tagging. PoS tagging is crucial to many NLP applications, including question answering, machine translation, syntactic parsing, speech recognition, and semantic parsing.
Shaheen Ullah, Riaz Ahmad, Abdallah Namoun, Siraj Muhammad, Khalil Ullah, Ibrar Hussain, Isa Ali Ibrahim   +6 more
doaj   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

Molecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla, Christopher Dirks, Caroline Eiden, Sonja K. Fesenmayer, Femke M. Hormann, Yolande Klootsema, Ingrid Lilienthal, Si Min Zhang, Nikolas Herold, Sean G. Rudd   +9 more
wiley   +1 more source

PicAxe: Extracting Figures from Structurally and Syntactically Heterogeneous Corpora of PDF Files

Journal of Open Research Software
PicAxe is open-source Python software that researchers can use to extract figures from corpora of PDF files that contain text and images. It is designed to extract figures from corpora that include both scanned and “born-digital” PDF files (structurally ...
Anna C. Guerrero, Krishna Kamath, Qilin Zhou, Bruno Felalaga, Julia Damerow, Aaron R. Dinner   +5 more
doaj   +1 more source

Feature Approach for Printed Document Image Analysis [PDF]

, 2002
This paper presents advances in zone classification for printed document image analysis. It firstly introduces entropic heuristic for text separation problem. Then a brief recall on existing texture and geometric discriminant parameters proposed in a previous research is done.
Jean Duong, Myriam Côté, Hubert Emptoz
openaire   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source