Publications by authors named "Sudip Kumar Sahana"
Article Synopsis
- Polycystic Ovary Syndrome (PCOS) is a common hormonal disorder in women of reproductive age, characterized by high androgen levels and symptoms like acne, hair loss, and excessive hair growth, which can interfere with normal ovulation due to multiple immature follicles in the ovaries.
- Current diagnostic methods for PCOS, which rely on ultrasound imaging and clinical assessments, are often slow and error-prone, highlighting the need for automated systems to improve diagnostic efficiency and accuracy.
- This study proposes an advanced automated system using AI to analyze ultrasound images for detecting and classifying PCOS, employing image processing techniques and machine learning to enhance diagnosis, with preliminary results showing promising accuracy through robust evaluation metrics.
The novel coronavirus illness (COVID-19) outbreak, which began in a seafood market in Wuhan, Hubei Province, China, in mid-December 2019, has spread to almost all countries, territories, and places throughout the world. And since the fault in diagnosis of a disease causes a psychological impact, this was very much visible in the spread of COVID-19. This research aims to address this issue by providing a better solution for diagnosis of the COVID-19 disease.
View Article and Find Full Text PDFThe tissue P system (TPS) possesses intrinsic attributes of parallel execution in comprehensive data and instruction space, which provides fast convergence during the transition from local to global optima. Method- In this study, we have proposed and built a TPSysIR framework using the TPS for image registration that optimizes upon the mutual information (MI) similarity metric to find a global solution. Result- The model was tested on single- and multimodal brain MRI scans and other prominent optimization-based image registration techniques.
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