Artificial intelligence in cervical cancer screening and diagnosis
X Hou, G Shen, L Zhou, Y Li, T Wang, X Ma - Frontiers in oncology, 2022 - frontiersin.org
Cervical cancer remains a leading cause of cancer death in women, seriously threatening
their physical and mental health. It is an easily preventable cancer with early screening and …
their physical and mental health. It is an easily preventable cancer with early screening and …
[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
DEMNET: A deep learning model for early diagnosis of Alzheimer diseases and dementia from MR images
S Murugan, C Venkatesan, MG Sumithra, XZ Gao… - Ieee …, 2021 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is the most common cause of dementia globally. It steadily
worsens from mild to severe, impairing one's ability to complete any work without assistance …
worsens from mild to severe, impairing one's ability to complete any work without assistance …
[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
SARS‐CoV‐2 is a novel virus, responsible for causing the COVID‐19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …
A smart healthcare recommendation system for multidisciplinary diabetes patients with data fusion based on deep ensemble learning
The prediction of human diseases precisely is still an uphill battle task for better and timely
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
Deep learning-based approaches for robust classification of cervical cancer
I Pacal, S Kılıcarslan - Neural Computing and Applications, 2023 - Springer
Cervical cancer is the fourth most common cancer worldwide, and early diagnosis is crucial
for successful treatment, as with all types of cancer. The pap-smear test is considered the …
for successful treatment, as with all types of cancer. The pap-smear test is considered the …
Investigating the role of image fusion in brain tumor classification models based on machine learning algorithm for personalized medicine
R Nanmaran, S Srimathi, G Yamuna… - … methods in medicine, 2022 - Wiley Online Library
Image fusion can be performed on images either in spatial domain or frequency domain
methods. Frequency domain methods will be most preferred because these methods can …
methods. Frequency domain methods will be most preferred because these methods can …
A Practical Approach for Predicting Power in a Small‐Scale Off‐Grid Photovoltaic System using Machine Learning Algorithms
Climate change and the energy crisis substantially motivated the use and development of
renewable energy resources. Solar power generation is being identified as the most …
renewable energy resources. Solar power generation is being identified as the most …
Gastrointestinal tract disease classification from wireless endoscopy images using pretrained deep learning model
J Yogapriya, V Chandran, MG Sumithra… - … methods in medicine, 2021 - Wiley Online Library
Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes
increasingly popular in recent years. One of the major drawbacks of this technology is that it …
increasingly popular in recent years. One of the major drawbacks of this technology is that it …
Diagnosis of cervical cancer and pre-cancerous lesions by artificial intelligence: a systematic review
L Allahqoli, AS Laganà, A Mazidimoradi, H Salehiniya… - Diagnostics, 2022 - mdpi.com
Objective: The likelihood of timely treatment for cervical cancer increases with timely
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …
detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells …