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 …
Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsy
Efficient and accurate segmentation of the rectum in images acquired with a low-field (58-
74mT), prostate Magnetic Resonance Imaging (MRI) scanner may be advantageous for MRI …
74mT), prostate Magnetic Resonance Imaging (MRI) scanner may be advantageous for MRI …