[PDF][PDF] An efficient synthetic data generation algorithm to improve efficacy of deep learning models of medical images
Deep Convolutional Neural Networks (DCNNs) have emerged as powerful components of
computer-aided systems to detect and classify diseases in medical images. In order to …
computer-aided systems to detect and classify diseases in medical images. In order to …
Improving medical image segmentation and classification using a novel joint deep learning model
S Mudduluru, SKR Maryada, WL Booker… - Medical Imaging …, 2023 - spiedigitallibrary.org
Although deep learning models have been widely used in medical imaging research field to
perform lesion segmentation and classification tasks, several challenges remain to optimally …
perform lesion segmentation and classification tasks, several challenges remain to optimally …
Developing and Applying Hybrid Deep Learning Models for Computer-Aided Diagnosis of Medical Image Data
S Mudduluru - 2023 - shareok.org
The dissertation discusses three methods to address the challenges of applying deep
learning models to medical imaging. The first method involves the development of a new …
learning models to medical imaging. The first method involves the development of a new …
Application of Deep Learning to Optimize Computer-aided-detection and Diagnosis of Medical Images
SKR Maryada - 2023 - shareok.org
The field of medical imaging informatics has experienced significant advancements with the
integration of artificial intelligence (AI), especially in tasks like detecting abnormalities in …
integration of artificial intelligence (AI), especially in tasks like detecting abnormalities in …