Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Binita Lama"'
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Akademický článek
Deep learning-based dot and globule segmentation with pixel and blob-based metrics for evaluation
Autor: Anand K. Nambisan, Norsang Lama, Thanh Phan, Samantha Swinfard, Binita Lama, Colin Smith, Ahmad Rajeh, Gehana Patel, Jason Hagerty, William V. Stoecker, Ronald J. Stanley
Publikováno v: Intelligent Systems with Applications, Vol 16, Iss , Pp 200126- (2022)
Deep learning (DL) applied to whole dermoscopic images has shown unprecedented accuracy in differentiating images of melanoma from benign lesions. We hypothesize that accuracy in whole-image deep learning suffers because whole lesion analysis lacks a
Externí odkaz: https://doaj.org/article/5cceaeef1bdc47e4bd396ae767a1739f
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2
Gestational Trophoblastic Diseases at a Tertiary care Hospital in Nepal: A Five Years Retrospective Study
Autor: Nikita Gautam, Ramesh Makaju, Dipika Basnet, Binita Lama, Prem Bahadur Maharjan, Sunila Shakya
Publikováno v: Nepalese Medical Journal. 5:580-584
Introduction: Gestational trophoblastic diseases, because of their diverse presentation and the malignant lesions being associated with recurrence, metastasis, and mortality, early diagnosis is important with the help of ultrasonogram preoperatively,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4052a0c6eec3e1e6137aa5aa912abfb2
https://doi.org/10.3126/nmj.v5i2.46966
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3
Role of Histopathology in diagnosis of Soft Tissue Tumors at Tertiary Care Center
Autor: Nikita Gautam, Ramesh Makaju, Rachana Dhakal, Dipika Basnet, Binita Lama
Publikováno v: Birat Journal of Health Sciences. 7:1758-1764
Introduction: Soft tissue tumors (STTs) are a diverse group of neoplasms. It varies from the most common benign tumors to some self-limited lesions and rare malignant soft tissue tumors. Because of the overlap in their clinical and radiological chara
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cac89f0e0712b10e2f4d392df07b2b52
https://doi.org/10.3126/bjhs.v7i2.49294
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4
Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks
Autor: Anand K. Nambisan, Akanksha Maurya, Norsang Lama, Thanh Phan, Gehana Patel, Keith Miller, Binita Lama, Jason Hagerty, Ronald Stanley, William V. Stoecker
Publikováno v: Cancers
Volume 15
Issue 4
Pages: 1259
Deep learning has achieved significant success in malignant melanoma diagnosis. These diagnostic models are undergoing a transition into clinical use. However, with melanoma diagnostic accuracy in the range of ninety percent, a significant minority o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27550534727a1714a65b091e83f1dede
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5
Histomorphological Spectrum of Lesions in Nephrectomy Specimen
Autor: Binita Lama, Rachana Dhakal, R Makaju, Dipika Basnet, Nikita Gautam
Publikováno v: Journal of College of Medical Sciences-Nepal. 17:93-100
Background Nephrectomy is a common and standard surgical practice in urology. It has pivotal role in diagnosis, treatment and prognosis of disease. It is indicated in patients with irreversible kidney damage following chronic infection, trauma, obstr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c234c403707894d78e2a1d9cf3eb9f0
https://doi.org/10.3126/jcmsn.v17i2.36322
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