Results 1 to 10 of about 12,701 (190)
Parkinson’s disease detection using inceptionV3: A Deep learning approach
MethodsXParkinson's disease (PD) is a neurodegenerative condition that progressively affects motor function and causes tremors, rigidity, and bradykinesia. Detection of PD at an early stage is important to ensure timely intervention and better patient outcomes ...
Pallavi M. Shanthappa +4 more
doaj +3 more sources
ETRI JournalDue to the global COVID-19 pandemic, distinct medicines have been devel-oped for treating the coronavirus disease (COVID). However, predicting and identifying potential adverse reactions to these medicines face significant chal-lenges in producing ...
Pranab Das, Dilwar Hussain Mazumder
exaly +2 more sources
Comparative performance of deep learning architectures for diabetic peripheral neuropathy detection using corneal confocal microscopy: a retrospective single-centre study [PDF]
BMJ OpenObjectives This study aims to develop a deep learning algorithm (DLA) using the InceptionV3 architecture for effective diabetic peripheral neuropathy (DPN) screening via corneal confocal microscopy (CCM) images.Design Retrospective study.Setting ...
Yuyang Deng +3 more
doaj +2 more sources
A Hybrid Approach for Landmark Recognition using Deep Local Features and Residual Network-50 [PDF]
ITM Web of Conferences, 2021 As smartphones and mobile data become universal in modern society, the opportunities to interact with the real world would grow tremendously. Latest Technologies such as Oculus Rift and Google Glass attempt to bridge the gap between the virtual and the ...
Nimbare Nishant +3 more
doaj +1 more source
Sakarya University Journal of Computer and Information Sciences, 2022 Physical layer authentication is an important technique for cybersecurity, especially in military scenarios. Device classification using radio frequency fingerprinting, which is based on recognizing device-unique characteristics of the transient waveform
Özkan Yılmaz, Mehmet Akif Yazıcı
doaj +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Acute lymphoblastic leukemia (ALL) is the most common form of leukemia that occurs in children. Detection of ALL through white blood cell image analysis can help with the prognosis and appropriate treatment. In this study, the author proposes an approach
Rizki Firdaus Mulya +2 more
doaj +1 more source
Penerapan model InceptionV3 dalam klasifikasi penyakit ayam
JNANALOKA, 2023 Chicken disease is one of the problems that can have a very significant impact on chicken farmers, in addition to having an impact on the farm itself, chicken disease can also have an impact on the surrounding environment. Lack of knowledge about the symptoms and diseases that occur in chickens, makes some chicken breeders treat and treat diseases in a
null Muhammad Salimy Ahsan +2 more
openaire +1 more source
Facial Expressions Based Automatic Pain Assessment System
Applied Sciences, 2022 Pain assessment is used to improve patients’ treatment outcomes. Human observers may be influenced by personal factors, such as inexperience and medical organizations are facing a shortage of experts.
Thoria Alghamdi, Gita Alaghband
doaj +1 more source
Deep Learning based Model for Detection of Vitiligo Skin Disease using Pre-trained Inception V3 [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2023 Skin diseases are commonly identified problems all over the world. There are various kinds of skin diseases, such as skin cancer, vulgaris, ichthyosis, and eczema. Vitiligo is one of the skin diseases that can occur in any area of the body, including the
Shagun Sharma +3 more
doaj +1 more source
Face Mask Detection Using Transfer Learning of InceptionV3 [PDF]
, 2020 The world is facing a huge health crisis due to the rapid transmission of coronavirus (COVID-19). Several guidelines were issued by the World Health Organization (WHO) for protection against the spread of coronavirus. According to WHO, the most effective preventive measure against COVID-19 is wearing a mask in public places and crowded areas.
Chowdary, G. Jignesh +3 more
openaire +2 more sources