Enabling Accurate Brain Tumor Segmentation with Deep Learning

R Sangeetha, P Vishwakarma, S Vats… - 2023 International …, 2023 - ieeexplore.ieee.org
The segmentation accuracy of brain tumors has been improved through the application of
deep learning. According to current research, deep learning may produce high-quality …

Transfer Learning for Accurate Classification of Breast Cancer in Medical Imaging

R Sangeetha, RP Shukla, S Vats… - 2023 International …, 2023 - ieeexplore.ieee.org
Transfer learning has recently been developed as a powerful technique for accurate
classification of medical images. It is predominantly used in deep learning models to …

Optimizing the Capacity of Extreme Learning Machines for Biomedical Informatics Applications

J Logeshwaran, R Bhardwaj… - 2023 International …, 2023 - ieeexplore.ieee.org
the paper discusses a way of growing the capability of severe deep learning machines
(ELM) for biomedical informatics programs. This technique involves varying the dimensions …

Hybrid CNN & Random Forest Model for Effective Turmeric Leaf Disease Diagnosis

D Banerjee, V Kukreja, D Bordoloi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This study dives into the classification of turmeric leaf diseases to enhance the field of
agriculture and crop health management. Turmeric, a major agricultural commodity, is …

Prediction of Coronavirus Using Various Machine Learning Algorithms

V Sharma, L Rani, D Srivastava - … Conference on IoT …, 2023 - ieeexplore.ieee.org
Human life and health are in danger due to the coronavirus pandemic, which eventually
reduces production. Artificial intelligence is crucial for predicting coronavirus cases because …