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Foram M. Sanghavi
PhD Candidate at Tufts Univ
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Author
Publications (5)
Proceedings Article | 27 May 2022 Poster + Paper
Machine learning based classification system using depth-dependent variation encoding for classifying cervical two-photon excited fluorescence image stacks
Proceedings Volume 12100, 121000T (2022) https://doi.org/10.1117/12.2623305
KEYWORDS: Image enhancement, Denoising, Tissues, Computer programming, Feature extraction, Luminescence, Image classification, Machine learning, Classification systems, Two photon excitation microscopy, Cervical cancer
Proceedings Article | 12 April 2021 Poster + Paper
COVID-19 detection in CT images using custom weighted filter-based CNN
Proceedings Volume 11734, 117340L (2021) https://doi.org/10.1117/12.2587960
KEYWORDS: Computed tomography, Neural networks, Intelligence systems, Computer simulations, Chest
Proceedings Article | 11 May 2020 Paper
Breast cancer classification using parametric free thresholding adjacency statistics based Fibonacci patterns
Proceedings Volume 11399, 113990Q (2020) https://doi.org/10.1117/12.2558613
KEYWORDS: Cancer, Breast cancer, Data modeling, Binary data, Tumor growth modeling, Tissues, Machine learning, Image classification, Performance modeling, Feature extraction
Proceedings Article | 10 May 2017 Paper
Application of local binary pattern and human visual Fibonacci texture features for classification different medical images
Proceedings Volume 10221, 102210S (2017) https://doi.org/10.1117/12.2262930
KEYWORDS: Binary data, Image classification, Medical imaging, Magnetic resonance imaging, Computed tomography, Image segmentation, Image visualization, Classification systems, Prostate cancer, Prostate, Cancer, Visualization, Biopsy, Tissues, Computing systems, Computer simulations, CAD systems
Proceedings Article | 19 May 2016 Paper
Automated classification of histopathology images of prostate cancer using a Bag-of-Words approach
Proceedings Volume 9869, 98690T (2016) https://doi.org/10.1117/12.2224389
KEYWORDS: Prostate cancer, Image classification, Cancer, Tissues, Classification systems, Feature extraction, Image filtering, Associative arrays, Image processing, Gaussian filters
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