Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Renoh Johnson Chalakkal"'
Autor:
Smiksha Munjral, Mahesh Maindarkar, Puneet Ahluwalia, Anudeep Puvvula, Ankush Jamthikar, Tanay Jujaray, Neha Suri, Sudip Paul, Rajesh Pathak, Luca Saba, Renoh Johnson Chalakkal, Suneet Gupta, Gavino Faa, Inder M. Singh, Paramjit S. Chadha, Monika Turk, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Meyypan Sockalingam, Ajit Saxena, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Vijay Viswanathan, Padukode R. Krishnan, Tomaz Omerzu, Subbaram Naidu, Andrew Nicolaides, Mostafa M. Fouda, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1234 (2022)
Diabetes is one of the main causes of the rising cases of blindness in adults. This microvascular complication of diabetes is termed diabetic retinopathy (DR) and is associated with an expanding risk of cardiovascular events in diabetes patients. DR,
Externí odkaz:
https://doaj.org/article/dd12e56f7b724a3aad0ef2bd06bac56e
Autor:
Faizal Hafiz, Renoh Johnson Chalakkal, Sheng Chiong Hong, Glenn Linde, Roger Hu, Ben O’Keeffe, Yim Boobin
Publikováno v:
Expert Review of Medical Devices. 19:303-314
The present study proposes a new hand-held non-mydriatic fundus camera for retinal imaging. The goal is to design a fundus camera which is equally effective in both clinical and telemedicine scenarios.A new retinal illumination approach is proposed t
Publikováno v:
Clinical Ophthalmology (Auckland, N.Z.)
Background Over 700,000 New Zealanders (NZ), particularly elderly and Māori, live without timely access to specialist ophthalmology services. Teleophthalmology is a widely recognised tool that can assist in overcoming resource and distance barriers.
Publikováno v:
Computers in Biology and Medicine. 108:317-331
Automatic retinal image analysis has remained an important topic of research in the last ten years. Various algorithms and methods have been developed for analysing retinal images. The majority of these methods use public retinal image databases for
The present study proposes a new approach to automated screening of Clinically Significant Macular Edema (CSME) and addresses two major challenges associated with such screenings, i.e., exudate segmentation and imbalanced datasets. The proposed appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bbe88b94cb7c9fc65789280360bbb59
http://arxiv.org/abs/2001.07002
http://arxiv.org/abs/2001.07002
Autor:
Waleed Habib Abdulla, Edi Abdurachman, Ahmed Aboelfetouh, Marah Talal Alhalabi, Zahra Amini, Punal M. Arabi, Sandra Avila, Francesco Bandello, Enrico Borrelli, Widodo Budiharto, Adriano Carnevali, Renoh Johnson Chalakkal, Eleonora Corbelli, Prema Daigavane, Glan Devadas, D. Anto Sahaya Dhas, Nabila Eladawi, Ayman El-Baz, Mohammed Elmogy, Alexandre Ferreira, Harry W. Flynn, Mohammed Ghazal, Sheng Chiong Hong, G. Indumathi, Gayatri Joshi, Anoop Balakrishnan Kadan, Rahele Kafieh, Nikita Kashyap, Robert Keynton, Ashraf Khalil, Rosa Lozada, Ali H. Mahmoud, Hatem Mahmoud, K.C. Manoj, Elaheh Mousavi, Wani Patil, Ramon Pires, Giuseppe Querques, Lea Querques, Hossein Rabbani, Alaa Riad, Anderson Rocha, T.V. Roshini, Boy Subirosa Sabarguna, Riccardo Sacconi, Perumal Sankar, V. Sathananthavathi, Shlomit Schaal, Stephen G. Schwartz, Dharmendra Kumar Singh, Girish Kumar Singh, Bambang Krismono Triwijoyo, Victor M. Villegas, Jacques Wainer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdadcd2ce0c9c25f845f524944c81d8d
https://doi.org/10.1016/b978-0-12-817440-1.09992-7
https://doi.org/10.1016/b978-0-12-817440-1.09992-7
This chapter shadows light over the fundamental imaging techniques used in the field of ophthalmology; namely fundus retinal imaging. Since it is a noninvasive way of imaging the retina, the method is popular among the ophthalmic community and the ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::237291052d80dedbfc0ba2d983b0e3ee
https://doi.org/10.1016/b978-0-12-817440-1.00003-6
https://doi.org/10.1016/b978-0-12-817440-1.00003-6
Publikováno v:
IET Image Processing. 12:2100-2110
Feature extraction from retinal images is gaining popularity worldwide as many pathologies are proved having connections with these features. Automatic detection of these features makes it easier for the specialist ophthalmologists to analyse them wi
Publikováno v:
ICEIC
Diabetic retinopathy (DR) is one of the leading causes of avertible blindness worldwide. Early detection of the disease can help to save the vision of diabetic patients. Presence of exudates, hemorrhages, and microaneurysms indicate an unhealthy eye
Publikováno v:
APSIPA
Vessel segmentation from the fundus retinal images is highly significant in diagnosing many pathologies related to eye and other systemic diseases. Even though there are many methods in the literature focusing on this task, most of these methods are