Publications by authors named "Siddhartha Chandra"
Body composition is a key component of health in both individuals and populations, and excess adiposity is associated with an increased risk of developing chronic diseases. Body mass index (BMI) and other clinical or commercially available tools for quantifying body fat (BF) such as DXA, MRI, CT, and photonic scanners (3DPS) are often inaccurate, cost prohibitive, or cumbersome to use. The aim of the current study was to evaluate the performance of a novel automated computer vision method, visual body composition (VBC), that uses two-dimensional photographs captured via a conventional smartphone camera to estimate percentage total body fat (%BF).
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- The paper focuses on improving medical image analysis by addressing image registration and tumor segmentation simultaneously using a new deep learning algorithm.
- The proposed method utilizes the interdependence between registration and segmentation tasks, specifically adjusting similarity constraints within tumor regions for better results.
- The algorithm was tested on well-known datasets (BraTS 2018 and OASIS 3), showing competitive performance compared to state-of-the-art methods, especially in tumor areas, and is accessible for public use online.