Image thresholding approaches for medical image segmentation-short literature review

S Jardim, J António, C Mora - Procedia Computer Science, 2023 - Elsevier
Medical image analysis is an invaluable tool in medicine. Different imaging modalities
provide an effective means for mapping images that can feed machine and deep learning …

Hybrid model for detection of cervical cancer using causal analysis and machine learning techniques

UK Lilhore, M Poongodi, A Kaur… - … Methods in Medicine, 2022 - Wiley Online Library
Cervical cancer has become the third most common form of cancer in the in‐universe, after
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …

FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection

HT Thai, KH Le, NLT Nguyen - Computers and Electronics in Agriculture, 2023 - Elsevier
Leaf diseases have become more prevalent in recent years due to climate change,
increased growth of outdoor air pollutants, and global warming. They may severely damage …

Blockchain technology and artificial intelligence based decentralized access control model to enable secure interoperability for healthcare

SK Rana, SK Rana, K Nisar, AA Ag Ibrahim, AK Rana… - Sustainability, 2022 - mdpi.com
Healthcare, one of the most important industries, is data-oriented, but most of the research in
this industry focuses on incorporating the internet of things (IoT) or connecting medical …

The benefit of artificial intelligence in the analysis of malignant brain diseases: a mini review

HIW Al-Shahwani, AK Faieq - … Journal of Artificial …, 2023 - journals.mesopotamian.press
Brain diseases are considered life-threatening malignant diseases. Malignant brain
diseases, such as glioblastoma multiforme (GBM) and metastatic brain tumours, present …

Lesion-aware visual transformer network for Paddy diseases detection in precision agriculture

AA Salamai, N Ajabnoor, WE Khalid, MM Ali… - European Journal of …, 2023 - Elsevier
Precision agriculture, driven by advancements in sensing technologies and data analytics,
offers promising solutions for addressing challenges in paddy disease management. Paddy …

A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment

UK Lilhore, S Simaiya, S Dalal… - Multimedia Tools and …, 2024 - Springer
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

Graphical image region extraction with k-means clustering and watershed

S Jardim, J António, C Mora - Journal of Imaging, 2022 - mdpi.com
With a wide range of applications, image segmentation is a complex and difficult
preprocessing step that plays an important role in automatic visual systems, which accuracy …

Leaf disease detection based on lightweight deep residual network and attention mechanism

Z Xiao, Y Shi, G Zhu, J Xiong, J Wu - IEEE Access, 2023 - ieeexplore.ieee.org
In today's leaf disease detection, the accuracy of recognition has never been of such
importance as it is now. In this aspect, leaf disease recognition method based on machine …

Lightweight modified attention based deep learning model for cassava leaf diseases classification

AS Tewari, P Kumari - Multimedia Tools and Applications, 2024 - Springer
The primary cause of decline in cassava production are various diseases on cassava
leaves. It has direct adverse impact on farmers' income. The detection of diseases in …