Boosting Unsupervised Dorsal Hand Vein Segmentation with U-Net Variants

Autor: Szidónia Lefkovits, Simina Emerich, László Lefkovits

Publikováno v: Mathematics, Vol 10, Iss 15, p 2620 (2022)

The identification of vascular network structures is one of the key fields of research in medical imaging. The segmentation of dorsal hand vein patterns form NIR images is not only the basis for reliable biometric identification, but would also provi

Externí odkaz: https://doaj.org/article/1eb05b4919e1400e9367d48e9a37e415

Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework

Autor: Suri, Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, Alessio Pasche, Pietro S. C. Danna, Sushant Agarwal, Lopamudra Mohanty, Nillmani, Neeraj Sharma, Sarita Yadav, Achin Jain, Ashish Kumar, Mannudeep K. Kalra, David W. Sobel, John R. Laird, Inder M. Singh, Narpinder Singh, George Tsoulfas, Mostafa M. Fouda, Azra Alizad, George D. Kitas, Narendra N. Khanna, Klaudija Viskovic, Melita Kukuljan, Mustafa Al-Maini, Ayman El-Baz, Luca Saba, Jasjit S.

Publikováno v: Diagnostics; Volume 13; Issue 11; Pages: 1954

Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo genera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::6ce9b6fbe808fc223a43c85214c3db5e

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework.

Autor: Dubey AK; Bharati Vidyapeeth's College of Engineering, New Delhi 110063, India., Chabert GL; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09123 Cagliari, Italy., Carriero A; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09123 Cagliari, Italy., Pasche A; Department of Radiology, 'Maggiore della Carità' Hospital, University of Piemonte Orientale, Via Solaroli 17, 28100 Novara, Italy., Danna PSC; Department of Radiology, 'Maggiore della Carità' Hospital, University of Piemonte Orientale, Via Solaroli 17, 28100 Novara, Italy., Agarwal S; Advanced Knowledge Engineering Centre, GBTI, Roseville, CA 95661, USA., Mohanty L; ABES Engineering College, Ghaziabad 201009, India.; Department of Computer Science Engineering, Bennett University, Greater Noida 201310, India., Nillmani; School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India., Sharma N; School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India., Yadav S; Bharati Vidyapeeth's College of Engineering, New Delhi 110063, India., Jain A; Bharati Vidyapeeth's College of Engineering, New Delhi 110063, India., Kumar A; Department of Computer Science Engineering, Bennett University, Greater Noida 201310, India., Kalra MK; Department of Radiology, Massachusetts General Hospital, Boston, MA 02115, USA., Sobel DW; Men's Health Centre, Miriam Hospital Providence, Providence, RI 02906, USA., Laird JR; Heart and Vascular Institute, Adventist Health St. Helena, St. Helena, CA 94574, USA., Singh IM; Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA 95661, USA., Singh N; Department of Food Science and Technology, Graphic Era, Deemed to be University, Dehradun 248002, India., Tsoulfas G; Department of Surgery, Aristoteleion University of Thessaloniki, 54124 Thessaloniki, Greece., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA., Alizad A; Department of Physiology & Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA., Kitas GD; Academic Affairs, Dudley Group NHS Foundation Trust, Dudley DY1 2HQ, UK., Khanna NN; Department of Cardiology, Indraprastha APOLLO Hospitals, New Delhi 110001, India., Viskovic K; Department of Radiology and Ultrasound, University Hospital for Infectious Diseases, 10000 Zagreb, Croatia., Kukuljan M; Department of Interventional and Diagnostic Radiology, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia., Al-Maini M; Allergy, Clinical Immunology & Rheumatology Institute, Toronto, ON L4Z 4C4, Canada., El-Baz A; Biomedical Engineering Department, University of Louisville, Louisville, KY 40292, USA., Saba L; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09123 Cagliari, Italy., Suri JS; Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA 95661, USA.

Publikováno v: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Jun 02; Vol. 13 (11). Date of Electronic Publication: 2023 Jun 02.