Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Aishwariya Dutta"'
Autor:
Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Abdul Awal, Md. Akhtarul Islam, Mehedi Masud, Jehad F. Al-Amri
Publikováno v:
IEEE Access, Vol 9, Pp 119613-119628 (2021)
Measles is one of the significant public health issues responsible for the high mortality rate around the globe, especially for developing countries. Using nationally representative demographic and health survey data, measles vaccine utilization has
Externí odkaz:
https://doaj.org/article/0ea84ea5fdac489c951774e347213131
Autor:
Md. Kamrul Hasan, Md. Ashraful Alam, Shidhartho Roy, Aishwariya Dutta, Md. Tasnim Jawad, Sunanda Das
Publikováno v:
Informatics in Medicine Unlocked, Vol 27, Iss , Pp 100799- (2021)
Recently, numerous studies have been conducted on Missing Value Imputation (MVI), intending the primary solution scheme for the datasets containing one or more missing attribute’s values. The incorporation of MVI reinforces the Machine Learning (ML
Externí odkaz:
https://doaj.org/article/2a97939134cf4cd9870d8e3a96a66b5f
Autor:
Chayan Mondal, Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal, Md. Tasnim Jawad, Aishwariya Dutta, Md. Rabiul Islam, Mohammad Ali Moni
Publikováno v:
Informatics in Medicine Unlocked, Vol 27, Iss , Pp 100794- (2021)
Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by the presence of excess immature lymphocytes., Even though automation in ALL prognosis is essential for cancer diagnosis, it remains a challenge due to the morphological correl
Externí odkaz:
https://doaj.org/article/72e7f09ba70e46ea9b572332f7079fa3
Autor:
Aishwariya Dutta, Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal, Md. Akhtarul Islam, Mehedi Masud, Hossam Meshref
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 19; Pages: 12378
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of significant complications, including cardiovascular disease, kidney failure, diabetic retinopathy, and neuropathy, among others, which contribute to an incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::102fcb6eafacf2890c72b92afd23f549
https://pubmed.ncbi.nlm.nih.gov/36231678
https://pubmed.ncbi.nlm.nih.gov/36231678
Autor:
Md. Tasnim Jawad, Salem A. Alyami, Md. Rabiul Islam, Aishwariya Dutta, Chayan Mondal, Md. Abdul Awal, Md. Kamrul Hasan, Mohiuddin Ahmad, Mohammad Ali Moni
Although automated Acute Lymphoblastic Leukemia (ALL) detection is essential, it is challenging due to the morphological correlation between malignant and normal cells. The traditional ALL classification strategy is arduous, time-consuming, often suf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7aa4bc297bb4fdf2d540a63e9101ecd
https://doi.org/10.20944/preprints202105.0429.v1
https://doi.org/10.20944/preprints202105.0429.v1
Autor:
Md. Kamrul Hasan, Mohammad Ali Moni, Mohiuddin Ahmad, Aishwariya Dutta, Chayan Mondal, Md. Abdul Awal, Md. Tasnim Jawad, Md. Rabiul Islam
Publikováno v:
Informatics in Medicine Unlocked, Vol 27, Iss, Pp 100794-(2021)
Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by the presence of excess immature lymphocytes., Even though automation in ALL prognosis is essential for cancer diagnosis, it remains a challenge due to the morphological correl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172df3d8aa6173e0c9c6414bc5fc2466
http://www.sciencedirect.com/science/article/pii/S235291482100263X
http://www.sciencedirect.com/science/article/pii/S235291482100263X
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811605857
Skin cancer, also known as melanoma, is generally diagnosed visually from the dermoscopic images, which is a tedious and time-consuming task for the dermatologist. Such a visual assessment, via the naked eye for skin cancers, is challenging and arduo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8382b89271da543c46791764c597950a
https://doi.org/10.1007/978-981-16-0586-4_5
https://doi.org/10.1007/978-981-16-0586-4_5
Skin cancer, also known as melanoma, is generally diagnosed visually from the dermoscopic images, which is a tedious and time-consuming task for the dermatologist. Such a visual assessment, via the naked eye for skin cancers, is a challenging and ard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c72f55fcbba84e09555911e1060143a1
https://doi.org/10.1101/2020.11.24.20238246
https://doi.org/10.1101/2020.11.24.20238246
Autor:
Md. Kamrul Hasan, Md. Tasnim Jawad, Mohiuddin Ahmad, Shidhartho Roy, Md. Toufick E Elahi, Chayan Mondal, Md. Ashraful Alam, Aishwariya Dutta, S. M. Taslim Uddin Raju
Publikováno v:
Biomedical Signal Processing and Control. 68:102661
Automated skin lesion analysis for simultaneous detection and recognition is still challenging for inter-class homogeneity and intra-class heterogeneity, leading to low generic capability of a Single Convolutional Neural Network (CNN) with limited da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::112a7d784fef908c54d633d1edc3476e
https://doi.org/10.1016/j.bspc.2021.102661
https://doi.org/10.1016/j.bspc.2021.102661