Zobrazeno 1 - 10
of 1 259
pro vyhledávání: '"Grad_CAM"'
Publikováno v:
Therapeutics and Clinical Risk Management, Vol Volume 20, Pp 761-773 (2024)
Hua Wang,1 Jichong Ying,2 Jianlei Liu,2 Tianming Yu,2 Dichao Huang2 1Department of Medical Imaging, Ningbo No.6 hospital, Ningbo, People’s Republic of China; 2Department of Orthopedics, Ningbo No.6 hospital, Ningbo, People’s Republic of ChinaCorr
Externí odkaz:
https://doaj.org/article/7a1cf1d9e3cf462484d6fb79ea086c05
Autor:
Maria Nancy A, K. Sathyarajasekaran
Publikováno v:
Automatika, Vol 65, Iss 4, Pp 1350-1363 (2024)
Brain Tumor Segmentation (BTS) and classification are important and growing research fields. Magnetic resonance imaging (MRI) is commonly used in the diagnosis of brain tumours owing to its low radiation exposure and high image quality. One of the cu
Externí odkaz:
https://doaj.org/article/d529fe9dc5004b6ebd1d77fe0068fe89
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aimed to investigate the performance and factors affecting the species classification of convolutional neural network (CNN) architecture using whole-part and earlywood-part cross-sectional datasets of six Korean Quercus species. T
Externí odkaz:
https://doaj.org/article/febc0b48936945e489b51906dc060931
Autor:
Md. Jawadul Karim, Md. Omaer Faruq Goni, Md. Nahiduzzaman, Mominul Ahsan, Julfikar Haider, Marcin Kowalski
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables
Externí odkaz:
https://doaj.org/article/ff8ea21e7db1457e91368c8548eec8b7
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103414- (2024)
Aphasia, a language disorder caused by brain injury, presents significant speech recognition and classification challenges due to irregular speech patterns. While the standard Grad-CAM (Gradient-weighted Class Activation Mapping) technique is widely
Externí odkaz:
https://doaj.org/article/0033e0da2ff544389a22e2c7263ce868
Autor:
Annarita Fanizzi, Maria Colomba Comes, Samantha Bove, Elisa Cavalera, Paola de Franco, Alessia Di Rito, Angelo Errico, Marco Lioce, Francesca Pati, Maurizio Portaluri, Concetta Saponaro, Giovanni Scognamillo, Ippolito Troiano, Michele Troiano, Francesco Alfredo Zito, Raffaella Massafra
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Several studies have emphasised how positive and negative human papillomavirus (HPV+ and HPV−, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct molecular profiles, tumor characteristics, and disease outcomes. Differ
Externí odkaz:
https://doaj.org/article/3a58af39bb7947f98b520802b8a424b4
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract This study addresses the critical challenge of detecting brain tumors using MRI images, a pivotal task in medical diagnostics that demands high accuracy and interpretability. While deep learning has shown remarkable success in medical image
Externí odkaz:
https://doaj.org/article/0869b91c358940fab20982b7c205cd2c
Autor:
Goswami Neelankit Gautam, Goswami Anushree, Sampathila Niranjana, Bairy Muralidhar G., Chadaga Krishnaraj, Belurkar Sushma
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 1-22 (2024)
Sickle cell disease (SCD), a blood disorder that transforms the shape of red blood cells into a distinctive sickle form, is a major concern as it not only compromises the blood’s oxygen-carrying capacity but also poses significant health risks, ran
Externí odkaz:
https://doaj.org/article/59f7a7c257ed4ce5a3b15784c98c4703
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Ankle fractures are prevalent injuries that necessitate precise diagnostic tools. Traditional diagnostic methods have limitations that can be addressed using machine learning techniques, with the potential to improve accuracy and
Externí odkaz:
https://doaj.org/article/4a1f290403924586998b708f302c7e23
Publikováno v:
Micro and Nano Engineering, Vol 24, Iss , Pp 100282- (2024)
Nanomechanical resonators can detect various small physical quantities with high sensitivity using changes in resonant properties. However, viscous damping in liquids significantly reduces the measurement sensitivity. This study proposes convolutiona
Externí odkaz:
https://doaj.org/article/0e433f304ce74e50b8ff5a81aab284f8