Embedded AI for wheat yellow rust infection type classification
Wheat is the most important and dominating crop in Pakistan in terms of production and
acreage, which is grown on 37% of the cultivated area, accounting for 70% of the total …
acreage, which is grown on 37% of the cultivated area, accounting for 70% of the total …
Intelligent intrusion detection scheme for smart power-grid using optimized ensemble learning on selected features
The smart grid has gained a reputation as the advanced paradigm of the power grid. It is a
complicated cyber-physical system that combines information and communication …
complicated cyber-physical system that combines information and communication …
Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework
Tuberculosis is a bacterial infection that usually affects the lungs; however, it can be treated
if diagnosed earlier. Effective analysis of computed tomography images of lungs captured …
if diagnosed earlier. Effective analysis of computed tomography images of lungs captured …
Radiomics-Guided Global-Local transformer for weakly supervised pathology localization in chest X-Rays
Before the recent success of deep learning methods for automated medical image analysis,
practitioners used handcrafted radiomic features to quantitatively describe local patches of …
practitioners used handcrafted radiomic features to quantitatively describe local patches of …
Amseg: A novel adversarial architecture based multi-scale fusion framework for thyroid nodule segmentation
X Ma, B Sun, W Liu, D Sui, J Chen, Z Tian - IEEE Access, 2023 - ieeexplore.ieee.org
The thyroid gland is an important and essential endocrine organ for the human body that
regulates metabolism, growth and development by secreting thyroid hormones. Thyroid …
regulates metabolism, growth and development by secreting thyroid hormones. Thyroid …
Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19
K Kansal, TB Chandra, A Singh - Multimedia Tools and Applications, 2024 - Springer
In the realm of medical diagnostics, particularly in differential diagnosis, where differentiating
between illnesses or ailments with comparable symptoms is essential, deep learning has …
between illnesses or ailments with comparable symptoms is essential, deep learning has …
An efficient multi-class classification of skin cancer using optimized vision transformer
RP Desale, PS Patil - Medical & Biological Engineering & Computing, 2024 - Springer
Skin cancer is a pervasive and deadly disease, prompting a surge in research efforts
towards utilizing computer-based techniques to analyze skin lesion images to identify …
towards utilizing computer-based techniques to analyze skin lesion images to identify …
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Understanding the severity of conditions shown in images in medical diagnosis is crucial
serving as a key guide for clinical assessment treatment as well as evaluating longitudinal …
serving as a key guide for clinical assessment treatment as well as evaluating longitudinal …
Tnseg: adversarial networks with multi-scale joint loss for thyroid nodule segmentation
X Ma, B Sun, W Liu, D Sui, S Shan, J Chen… - The Journal of …, 2024 - Springer
The thyroid gland is a critical regulator of numerous physiological functions, and the
presence of thyroid nodules often signals potential disorders. Accurate nodule segmentation …
presence of thyroid nodules often signals potential disorders. Accurate nodule segmentation …
Classification of chest X-ray images by incorporation of medical domain knowledge into operation branch networks
T Tsuji, Y Hirata, K Kusunose, M Sata, S Kumagai… - BMC Medical …, 2023 - Springer
Background This study was conducted to alleviate a common difficulty in chest X-ray image
diagnosis: The attention region in a convolutional neural network (CNN) does not often …
diagnosis: The attention region in a convolutional neural network (CNN) does not often …