6 Result(s)
within
Suraj Sawant
Computer Science
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Chapter
Performance Analysis of Memory-Efficient Vision Transformers in Brain Tumor Segmentation
Convolutional neural networks are the most in demand solution for computer-aided medical image-segmentation applications and have attained excellent results. In recent years, transformer architectures, convent...
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Chapter
Medical Image Synthesis Using Generative Adversarial Networks
The diagnostic capabilities in medical imaging domain saw significant improvements triggered by advances in deep learning in the past few years. The ophthalmology analysis of retinal networks gives information...
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Chapter
Unlocking New Possibilities in Drug Discovery: A GAN-Based Approach
Drug discovery refers to the process of identifying and develo** new chemical compounds, to create medications that can treat or cure diseases. In the process of drug discovery, one of the major obstacles is...
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Chapter
Early Detection of Diabetic Retinopathy Using Deep Learning
Diabetic retinopathy is a major cause of blindness in diabetic individuals aged 25–65, where lesions on the retina caused by weakened blood vessels can lead to visual loss and even total blindness. Current man...
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Chapter and Conference Paper
Integration of Machine Learning in the Spatio-Temporal Analysis of Mangrove Forest
Mangroves are an intricate part of the coastal areas (inter-tidal zone). Many biotic and abiotic factors have an impact on the status, health, and functioning of the mangrove ecosystem. Spatial-temporal analys...
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Chapter and Conference Paper
Flood Damage Detection Using Satellite Images
After a hazardous event such as a hurricane, timely and reliable situational awareness for all intents and purposes is critical to emergency managers and first responders. One of the most fairly effective ways...
