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Year | Number of Results |
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2018 | 1 |
2019 | 1 |
2020 | 2 |
2022 | 1 |
2024 | 0 |
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Page 1
Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review.
Curr Med Imaging. 2020;16(10):1187-1200. doi: 10.2174/1573405616666200406110547.
Curr Med Imaging. 2020.
PMID: 32250226
Review.
Review of Automated Computerized Methods for Brain Tumor Segmentation and Classification.
Nazar U, Khan MA, Lali IU, Lin H, Ali H, Ashraf I, Tariq J.
Nazar U, et al. Among authors: lali iu.
Curr Med Imaging. 2020;16(7):823-834. doi: 10.2174/1573405615666191120110855.
Curr Med Imaging. 2020.
PMID: 33059553
Review.
Item in Clipboard
Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm.
Zahoor S, Shoaib U, Lali IU.
Zahoor S, et al. Among authors: lali iu.
Diagnostics (Basel). 2022 Feb 21;12(2):557. doi: 10.3390/diagnostics12020557.
Diagnostics (Basel). 2022.
PMID: 35204646
Free PMC article.
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Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion.
Khan MA, Akram T, Sharif M, Saba T, Javed K, Lali IU, Tanik UJ, Rehman A.
Khan MA, et al. Among authors: lali iu.
Microsc Res Tech. 2019 Jun;82(6):741-763. doi: 10.1002/jemt.23220. Epub 2019 Feb 15.
Microsc Res Tech. 2019.
PMID: 30768826
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An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach.
Nasir M, Attique Khan M, Sharif M, Lali IU, Saba T, Iqbal T.
Nasir M, et al. Among authors: lali iu.
Microsc Res Tech. 2018 Jun;81(6):528-543. doi: 10.1002/jemt.23009. Epub 2018 Feb 21.
Microsc Res Tech. 2018.
PMID: 29464868
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