Zobrazeno 1 - 7
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pro vyhledávání: '"Richik Ghosh"'
Publikováno v:
Environmental Science and Pollution Research. 29:33281-33294
Unregulated use of chlorpyrifos (CPF) and monocrotophos (MCP) in agriculture casts adverse effects on non-target freshwater mollusc, Pila globosa and humans. Levels of CPF and MCP were assessed in the paddy field from the edible foot tissue of apple
Publikováno v:
The Open Biomedical Engineering Journal. 15:141-148
Skeletal maturity estimation is routinely evaluated by pediatrics and radiologists to assess growth and hormonal disorders. Methods integrated with regression techniques are incompatible with low-resolution digital samples and generate bias, when the
Autor:
Peter M Eckman, Maurice Enriquez-Sarano, Jeremy Collins, Pamela Morley, Holly Mazis, Bob Schweitzer, Michael Chappuis, Richik Ghosh, Matthew Nelson, Patrick Treado
Publikováno v:
Journal of Cardiac Failure. 29:664-665
Autor:
Richik Ghosh Thakur, Daya Shankar, Beauty Pandey, Santipada GonChaudhuri, Ajoyjit Ghosh, Debdutta Choudhury
Publikováno v:
Recent Advances in Thermofluids and Manufacturing Engineering ISBN: 9789811943874
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7373fb814c9539c4b052d9fc2130748
https://doi.org/10.1007/978-981-19-4388-1_32
https://doi.org/10.1007/978-981-19-4388-1_32
Akademický článek
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Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9789813349674
This paper presents a Deep Learning Ensemble framework for automatic detection of invasive ductal carcinoma from breast cancer histopathology images for diagnostic assistance. Pathological means of detecting IDC are predominantly arduous and tend to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25106926cdaa98dd171e0b777ffba716
https://doi.org/10.1007/978-981-33-4968-1_9
https://doi.org/10.1007/978-981-33-4968-1_9
Publikováno v:
Engineering Applications of Artificial Intelligence. 100:104202
With a mortality rate of approximately 33.33%, Colorectal cancer serves as the second most prevalent malignant tumor type in the world. AI-guided clinical care/tool can help in reducing health disparities, specifically in resource-constrained regions