Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Sajib Saha"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract This paper presents a low computationally intensive and memory efficient convolutional neural network (CNN)-based fully automated system for detection of glaucoma, a leading cause of irreversible blindness worldwide. Using color fundus photo
Externí odkaz:
https://doaj.org/article/ad43112ff6c446a29bc4ee465d028a1e
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Diabetic retinopathy (DR) is a leading cause of blindness and affects millions of people throughout the world. Early detection and timely checkups are key to reduce the risk of blindness. Automated grading of DR is a cost-effective way to en
Externí odkaz:
https://doaj.org/article/9fba7cc53af54f118f3f3f3889663b8b
Publikováno v:
Cleaner Materials, Vol 4, Iss , Pp 100082- (2022)
The emergence of ultra-high-performance concrete (UHPC) as an attractive solution for precast and prestressed applications has coincided with global efforts towards sustainable construction. Tools capable of intuitively demonstrating the tradeoffs be
Externí odkaz:
https://doaj.org/article/b08592bfc2d74af09c8b943f7b8b86b8
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 180-190 (2021)
Abstract Segmentation of retinal blood vessels is a very important diagnostic procedure in ophthalmology. Segmenting blood vessels in the presence of pathological lesions is a major challenge. In this paper, an innovative approach to segment the reti
Externí odkaz:
https://doaj.org/article/9e25a3b491214157aadbe5157fc29d99
Autor:
Jahanara Miah, Saima Sheikh, Rachel C. Francis, Gayathri Nagarajan, Sojan Antony, Maryam Tahir, Rabia Sattar, Anum Naz, Sehrish Tofique, Mostazir Billah, Sajib Saha, Iracema Leroi
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background: Patient and public involvement (PPI) is an active partnership between the public and researchers in the research process. In dementia research, PPI ensures that the perspectives of the person with “lived experience” of dementia are co
Externí odkaz:
https://doaj.org/article/485dc23e8aad4de9b678d8c27d4d8dd8
Publikováno v:
Applied AI Letters, Vol 1, Iss 1, Pp n/a-n/a (2020)
Abstract To develop a convolutional neural network visualization strategy so that optical coherence tomography (OCT) features contributing to the evolution of age‐related macular degeneration (AMD) can be better determined. We have trained a U‐Ne
Externí odkaz:
https://doaj.org/article/fbb1748b9a254056ba96e80dbd250e0c
Autor:
Mohamed Estai, Marc Tennant, Dieter Gebauer, Andrew Brostek, Janardhan Vignarajan, Maryam Mehdizadeh, Sajib Saha
Publikováno v:
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 134:262-270
This study aimed to evaluate a deep learning (DL) system using convolutional neural networks (CNNs) for automatic detection of caries on bitewing radiographs.In total, 2468 bitewings were labeled by 3 dentists to create the reference standard. Of the
Publikováno v:
Computer Vision and Image Analysis for Industry 4.0 ISBN: 9781003256106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c006783669834600827d53c457f838f
https://doi.org/10.1201/9781003256106-6
https://doi.org/10.1201/9781003256106-6
Publikováno v:
Géotechnique. :1-12
The prediction of vertical movement in expansive soil is important primarily for the purpose of designing foundations and other horizontal structural elements such as pavements. Most of the existing approaches to predict vertical movement are conserv
Publikováno v:
Inventive Computation and Information Technologies ISBN: 9789811974014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2280d7729415e3a461d068da00577b3d
https://doi.org/10.1007/978-981-19-7402-1_7
https://doi.org/10.1007/978-981-19-7402-1_7