Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Saransh Saxena"'
Publikováno v:
International Journal of Research Publication and Reviews. :1679-1682
Visually impaired people in India are estimated at 62 million; of these, 54 million persons have low vision, and 8 million have completely no vision. Government of India has been giving a lot emphasis on the improvement of the education, discusses th
Autor:
Mirah Khalid Alshehhi, Francois Berthiaume, Monika Bhardwaj, Oscar K. Bitzer-Quintero, Anirban Chattopadhyay, Partha Chattopadhyay, Nar Singh Chauhan, Mahesh Kumar Choudhary, Daniela L.C. Delgado-Lara, Parneet Kaur Deol, Priti Devi, Aarushi Garg, Héctor González-Usigli, Saksham Gupta, Madangchanok Imchen, Shafaque Imran, Kailash Jaiswal, Raj Kishor Kapardar, Tanya Kapil, Indu Pal Kaur, Suneel Kumar, Ranjith Kumavath, Haripriya J. Kungumaraj, Soumendu Mahapatra, Mario A. Mireles-Ramírez, Rasmita Mishra, Smrutishree Mohanty, Jamseel Moopantakath, Gagandeep Mudhar, Asiya Nazir, Genaro Gabriel Ortiz, Fermín P. Pacheco-Moisés, Rajesh Pandey, Shaista Parveen, Sujata Prasad, Punit Prasad, Ankita Punetha, Arun Kumar Punetha, Arathi Radhakrishnan, Javier Ramírez-Jirano, Swathi V. Reddy, Sheeba Saifi, Saransh Saxena, Aditi Munmun Sengupta, Garima Sharma, null Shipra, Amar Singh, Bandana Singh, Gatikrushna Singh, Mandeep Singh, Padmasana Singh, Raj Kamal Srivastava, Rajpal Srivastav, Aparna Swaminathan, Manoj Kumar Tembhre, Blanca M. Torres-Mendoza, Erandis D. Torres-Sánchez, Monika Yadav
Publikováno v:
Microbiome Therapeutics ISBN: 9780323993364
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ee6e3f24eb841f2b325aaa999bb342b
https://doi.org/10.1016/b978-0-323-99336-4.01002-8
https://doi.org/10.1016/b978-0-323-99336-4.01002-8
Autor:
Sheeba Saifi, Aparna Swaminathan, Priti Devi, Partha Chattopadhyay, Saksham Gupta, Aarushi Garg, Saransh Saxena, Shaista Parveen, Rajesh Pandey
Publikováno v:
Microbiome Therapeutics ISBN: 9780323993364
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::816bbf41e82f8a843aee1144bbd0de6d
https://doi.org/10.1016/b978-0-323-99336-4.00006-9
https://doi.org/10.1016/b978-0-323-99336-4.00006-9
Publikováno v:
IMPACT-2013.
In this paper, we present a comparative study of various techniques which have been proposed for segmentation of brain tumors in MRI data. Three different techniques are discussed in this paper. These include morphological watershed segmentation, K-M