[HTML][HTML] Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques
Lung cancer is characterized by the uncontrollable growth of cells in the lung tissues. Early
diagnosis of malignant cells in the lungs, which provide oxygen to the human body and …
diagnosis of malignant cells in the lungs, which provide oxygen to the human body and …
Rewarding Reviews with Tokens Using Smart Contracts
Research shows that 68% of online purchases are influenced by the reviews of the products
that are being sold. Online retailers know the importance of online reviews and how those …
that are being sold. Online retailers know the importance of online reviews and how those …
A Novel Transfer Learning Approach for Eye Tumour Detection using Pre-Trained CNN Models
According to a recent study, using retinal imaging to identify the tumour in the eye is difficult.
When an image is analyzed, the affected region of the lesion impacted retinal picture is not …
When an image is analyzed, the affected region of the lesion impacted retinal picture is not …
A Machine Learning Approach for Predicting Disease in Heart Using Logistic Regression
M Azhar, LM Gladence - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
The heart plays an important role in humans. The diagnosis and prediction part of the heart
disease prediction process improves accuracy, completeness and accuracy in diseases …
disease prediction process improves accuracy, completeness and accuracy in diseases …
CNN Architecture and Classification of Miosis and Mydriasis Clinical Conditions
Deep Learning has been a revolutionary innovation in the field of medical imaging. The
domains that once required hours of intense study for detection or classification of a disease …
domains that once required hours of intense study for detection or classification of a disease …