Zobrazeno 1 - 10
of 290
pro vyhledávání: '"Rajarajeswari, P"'
Autor:
Muthusivarajan, Rajarajeswari, Celaya, Adrian, Farhat, Maguy, Talpur, Wasif, Langshaw, Holly, White, Victoria, Elliott, Andrew, Thrower, Sara, Schellingerhout, Dawid, Fuentes, David, Chung, Caroline
Precise automated delineation of post-operative gross tumor volume in glioblastoma cases is challenging and time-consuming owing to the presence of edema and the deformed brain tissue resulting from the surgical tumor resection. To develop a model fo
Externí odkaz:
http://arxiv.org/abs/2409.15177
Autor:
Peng, ShengYun, Chakravarthy, Aishwarya, Lee, Seongmin, Wang, Xiaojing, Balasubramaniyan, Rajarajeswari, Chau, Duen Horng
Tables convey factual and quantitative data with implicit conventions created by humans that are often challenging for machines to parse. Prior work on table recognition (TR) has mainly centered around complex task-specific combinations of available
Externí odkaz:
http://arxiv.org/abs/2403.04822
Autor:
Peng, ShengYun, Lee, Seongmin, Wang, Xiaojing, Balasubramaniyan, Rajarajeswari, Chau, Duen Horng
Table structure recognition (TSR) aims to convert tabular images into a machine-readable format. Although hybrid convolutional neural network (CNN)-transformer architecture is widely used in existing approaches, linear projection transformer has outp
Externí odkaz:
http://arxiv.org/abs/2402.15578
Autor:
Peng, ShengYun, Lee, Seongmin, Wang, Xiaojing, Balasubramaniyan, Rajarajeswari, Chau, Duen Horng
Table structure recognition (TSR) aims to convert tabular images into a machine-readable format, where a visual encoder extracts image features and a textual decoder generates table-representing tokens. Existing approaches use classic convolutional n
Externí odkaz:
http://arxiv.org/abs/2311.05565
Publikováno v:
Journal of Medical Evidence, Vol 5, Iss 2, Pp 96-100 (2024)
Background: Amputation related to foot ulcers that develop in diabetes is the worst consequence of improper foot care among diabetic patients. Considering this, the present research was conducted to assess the knowledge and practice regarding foot ca
Externí odkaz:
https://doaj.org/article/93d90396145742c49bca5d782b7bfc49
Autor:
Muthusivarajan, Rajarajeswari, Celaya, Adrian, Yung, Joshua P., Viswanath, Satish, Marcus, Daniel S., Chung, Caroline, Fuentes, David
Deep neural networks with multilevel connections process input data in complex ways to learn the information.A networks learning efficiency depends not only on the complex neural network architecture but also on the input training images.Medical imag
Externí odkaz:
http://arxiv.org/abs/2111.01093
Autor:
Celaya, Adrian, Actor, Jonas A., Muthusivarajan, Rajarajeswari, Gates, Evan, Chung, Caroline, Schellingerhout, Dawid, Riviere, Beatrice, Fuentes, David
Medical imaging deep learning models are often large and complex, requiring specialized hardware to train and evaluate these models. To address such issues, we propose the PocketNet paradigm to reduce the size of deep learning models by throttling th
Externí odkaz:
http://arxiv.org/abs/2104.10745
Autor:
Rajaraman Nivetha, Neethiselvan Rajarajeswari, Balaji Arumugam, Chinnaian Sivagurunathan, Ramesh Harihara Iyer
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 12, Iss 9, Pp 1965-1971 (2023)
Introduction: The COVID-19 pandemic is considered one of the most devastating situations globally, the worst affected were the senior citizens. A number of initiatives were carried out to control the COVID-19 pandemic; one such important measure is t
Externí odkaz:
https://doaj.org/article/ce01dccda3ee476ca38fd62e4de5bb34
Akademický článek
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Autor:
Priya Natha, Pothuraju RajaRajeswari
Publikováno v:
Computers, Vol 13, Iss 7, p 157 (2024)
There are many different kinds of skin cancer, and an early and precise diagnosis is crucial because skin cancer is both frequent and deadly. The key to effective treatment is accurately classifying the various skin cancers, which have unique traits.
Externí odkaz:
https://doaj.org/article/339a9d27378843c3a0061e5358a2a4d7