Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Lipi B. Mahanta"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Every nation treasures its handloom heritage, and in India, the handloom industry safeguards cultural traditions, sustains millions of artisans, and preserves ancient weaving techniques. To protect this legacy, a critical need arises to dist
Externí odkaz:
https://doaj.org/article/c77cd5eca2084f62b3892c4a563438b9
Autor:
Kangkana Bora, Lipi B. Mahanta, Kasmika Borah, Genevieve Chyrmang, Barun Barua, Saurav Mallik, Himanish Shekhar Das, Zhongming Zhao
Publikováno v:
Mathematics, Vol 10, Iss 21, p 4126 (2022)
Pattern detection and classification of cervical cell dysplasia can assist with diagnosis and treatment. This study aims to develop a computational model for real-world applications for cervical dysplasia that has the highest degree of accuracy and t
Externí odkaz:
https://doaj.org/article/f741e46442fd4cfebab88a33a68793ce
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 41, Iss 5, Pp 1014-1020 (2019)
We propose a framework for automated classification between normal and abnormal biopsy samples of childhood brain tumour with emphasis on childhood medulloblastoma, a most common childhood brain tumour, using texture features. Texture is a measure
Externí odkaz:
https://doaj.org/article/a9c549e19d1b4a078157af5cd5212974
Autor:
Alpana Deka, Lipi B. Mahanta
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 41, Iss 1, Pp 136-143 (2019)
Handwritten signature represents a person’s identity. Although overall patterns among the signatures of same person remain same, there can appear natural variations because two or more signatures of same person written within a moment and keeping
Externí odkaz:
https://doaj.org/article/0a8e949b2e51413b916d0821ec976424
Publikováno v:
Data in Brief, Vol 30, Iss , Pp 105589- (2020)
While a publicly available benchmark dataset provides a base for the development of new algorithms and comparison of results, hospital-based data collected from the real-world clinical setup is also very important in AI-based medical research for aut
Externí odkaz:
https://doaj.org/article/2758b1bf4ce841dc9d9325068ce461e9
Publikováno v:
Data in Brief, Vol 29, Iss , Pp - (2020)
The repository is composed of 1224 images divided into two sets of images with two different resolutions. First set consists of 89 histopathological images with the normal epithelium of the oral cavity and 439 images of Oral Squamous Cell Carcinoma (
Externí odkaz:
https://doaj.org/article/b024848b991b4aacb5580b209ebdcd37
Publikováno v:
Proceedings of the Indian National Science Academy. 88:765-777
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5eb2bfed99fafa779621d04a2637142
https://doi.org/10.1007/s43538-022-00128-8
https://doi.org/10.1007/s43538-022-00128-8
Autor:
Lipi B. Mahanta, Daisy Das
Publikováno v:
Journal of Medical and Biological Engineering. 41:379-392
Computational pathology involves the analysis of pathological images at two powers of microscopic examination: low (or architectural) power and high (or cell) power. Analysis at both these levels is highly crucial for treatment planning, or prognosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2d9b8b5daaba1bc1d1069b6ed4b676
https://doi.org/10.1007/s40846-021-00612-4
https://doi.org/10.1007/s40846-021-00612-4
Autor:
Lipi B. Mahanta, Alpana Deka
Publikováno v:
Statistics, Optimization & Information Computing. 8:902-914
In the field of security and forgery prevention, handwritten signatures are the most widely recognized biometric since long and also most practical. Although handwritten signature verification systems are studied using both On-line and Off-line appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db669f8cc76494f72833aa4ad5772220
https://doi.org/10.19139/soic-2310-5070-447
https://doi.org/10.19139/soic-2310-5070-447
Publikováno v:
Journal of Microscopy. 279:26-38
Childhood medulloblastoma is a case of a childhood brain tumour that requires close attention due to the low survival rate. Effective prognosis depends a lot on accurate detection of its subtype. The present study proposes a texture-based computer-ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cd0e77a67671d707dda125aa3dd0b98
https://doi.org/10.1111/jmi.12893
https://doi.org/10.1111/jmi.12893