Clinical named entity recognition: Challenges and opportunities
SR Kundeti, J Vijayananda, S Mujjiga… - … Conference on Big …, 2016 - ieeexplore.ieee.org
Information Extraction (IE), one of the important tasks in text analysis and Natural Language
Processing (NLP), involves extracting meaningful pieces of knowledge from unstructured …
Processing (NLP), involves extracting meaningful pieces of knowledge from unstructured …
High-performance OCR for printed English and Fraktur using LSTM networks
TM Breuel, A Ul-Hasan, MA Al-Azawi… - … on document analysis …, 2013 - ieeexplore.ieee.org
Long Short-Term Memory (LSTM) networks have yielded excellent results on handwriting
recognition. This paper describes an application of bidirectional LSTM networks to the …
recognition. This paper describes an application of bidirectional LSTM networks to the …
Deep neural networks for large vocabulary handwritten text recognition
T Bluche - 2015 - theses.hal.science
The automatic transcription of text in handwritten documents has many applications, from
automatic document processing, to indexing and document understanding. One of the most …
automatic document processing, to indexing and document understanding. One of the most …
Efficient, lexicon-free OCR using deep learning
M Namysl, I Konya - 2019 international conference on …, 2019 - ieeexplore.ieee.org
Contrary to popular belief, Optical Character Recognition (OCR) remains a challenging
problem when text occurs in unconstrained environments, like natural scenes, due to …
problem when text occurs in unconstrained environments, like natural scenes, due to …
Evaluation of cursive and non-cursive scripts using recurrent neural networks
Character recognition has been widely used since its inception in applications involved
processing of scanned or camera-captured documents. There exist multiple scripts in which …
processing of scanned or camera-captured documents. There exist multiple scripts in which …
UCOM offline dataset-an Urdu handwritten dataset generation
© 2017, Zarka Private University. All rights reserved. A benchmark database for character
recognition is an essential part for efficient and robust development. Unfortunately, there is …
recognition is an essential part for efficient and robust development. Unfortunately, there is …
[HTML][HTML] Extracting laboratory test information from paper-based reports
MW Ma, XS Gao, ZY Zhang, SY Shang, L Jin… - BMC Medical Informatics …, 2023 - Springer
Background In the healthcare domain today, despite the substantial adoption of electronic
health information systems, a significant proportion of medical reports still exist in paper …
health information systems, a significant proportion of medical reports still exist in paper …
[HTML][HTML] Обзор алгоритмов детектирования текстовых областей на изображениях и видеозаписях
ЮА Болотова, ВГ Спицын, ПМ Осина - Компьютерная оптика, 2017 - cyberleninka.ru
Статья посвящена обзору методов детектирования и сегментации текстовых областей
на изображениях и видеозаписях. Определяется обобщенный алгоритм работы систем …
на изображениях и видеозаписях. Определяется обобщенный алгоритм работы систем …
Data processing systems, devices, and methods for content analysis
R Tsibulevskiy, B Greenbaum - US Patent 9,223,769, 2015 - Google Patents
4,504,972 A 3, 1985 Scherlet al. 5,073.953 A 12/1991 Westdijk 5,103,489 A 4, 1992 Miette
5,111,408 A 5/1992 Amjadi 5,144,679 A 9, 1992 Kakumoto et al. 5,159,667 A 10/1992 …
5,111,408 A 5/1992 Amjadi 5,144,679 A 9, 1992 Kakumoto et al. 5,159,667 A 10/1992 …
High performance OCR for camera-captured blurred documents with LSTM networks
F Asad, A Ul-Hasan, F Shafait… - 2016 12th IAPR …, 2016 - ieeexplore.ieee.org
Documents are routinely captured by digital cameras in today's age owing to the availability
of high quality cameras in smart phones. However, recognition of camera-captured …
of high quality cameras in smart phones. However, recognition of camera-captured …