Výsledky vyhledávání - "Pillai, Anup"

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Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA

Autor: Kanjaria, Karina, Pillai, Anup, Shivade, Chaitanya, Bendersky, Marina, Jadhav, Ashutosh, Mukherjee, Vandana, Syeda-Mahmood, Tanveer

Publikováno v: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 178-186. 2020

Due to advances in machine learning and artificial intelligence (AI), a new role is emerging for machines as intelligent assistants to radiologists in their clinical workflows. But what systematic clinical thought processes are these machines using?

Externí odkaz: http://arxiv.org/abs/2009.06082

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Chest X-ray Report Generation through Fine-Grained Label Learning

Autor: Syeda-Mahmood, Tanveer, Wong, Ken C. L., Gur, Yaniv, Wu, Joy T., Jadhav, Ashutosh, Kashyap, Satyananda, Karargyris, Alexandros, Pillai, Anup, Sharma, Arjun, Syed, Ali Bin, Boyko, Orest, Moradi, Mehdi

Obtaining automated preliminary read reports for common exams such as chest X-rays will expedite clinical workflows and improve operational efficiencies in hospitals. However, the quality of reports generated by current automated approaches is not ye

Externí odkaz: http://arxiv.org/abs/2007.13831

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A robust network architecture to detect normal chest X-ray radiographs

Autor: Wong, Ken C. L., Moradi, Mehdi, Wu, Joy, Pillai, Anup, Sharma, Arjun, Gur, Yaniv, Ahmad, Hassan, Chowdary, Minnekanti Sunil, J, Chiranjeevi, Polaka, Kiran Kumar Reddy, Wunnava, Venkateswar, Reddy, DC, Syeda-Mahmood, Tanveer

We propose a novel deep neural network architecture for normalcy detection in chest X-ray images. This architecture treats the problem as fine-grained binary classification in which the normal cases are well-defined as a class while leaving all other

Externí odkaz: http://arxiv.org/abs/2004.06147

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Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays

Autor: Syeda-Mahmood, Tanveer, Ahmad, Hassan M., Ansari, Nadeem, Gur, Yaniv, Kashyap, Satyananda, Karargyris, Alexandros, Moradi, Mehdi, Pillai, Anup, Sheshadri, Karthik, Wang, Weiting, Wong, Ken C. L., Wu, Joy T.

Chest X-rays are the most common diagnostic exams in emergency rooms and hospitals. There has been a surge of work on automatic interpretation of chest X-rays using deep learning approaches after the availability of large open source chest X-ray data

Externí odkaz: http://arxiv.org/abs/1906.09336

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