Výsledky vyhledávání - "Akshay V Gaikwad"

Impact of chitosan seed treatment of fenugreek for management of root rot disease caused by Fusarium solani under in vitro and in vivo conditions

Autor: Akshay V Gaikwad, Prasad S Kodre, S. K. Holkar, Sahadeo D. Ramteke, M. R. Ghule, Hemangee A Jambhekar, Amruta R Langote, Purushottam K. Ramteke

Publikováno v: 3 Biotech. 11

The use of chitosan as an alternative for fungicides has received more attention worldwide. Hence, this study aimed to evaluate in vitro and in vivo antifungal activity of chitosan against Fusarium solani causing root rot in fenugreek. Chitosan treat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1dda89ff4ba6b8850c635ed09ab3d8f
https://doi.org/10.1007/s13205-021-02843-3

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Impact of chitosan seed treatment of fenugreek for management of root rot disease caused by

Autor: Mahesh R, Ghule, Purushottam K, Ramteke, Sahadeo D, Ramteke, Prasad S, Kodre, Amruta, Langote, Akshay V, Gaikwad, Somnath K, Holkar, Hemangee, Jambhekar

Publikováno v: 3 Biotech

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::77d3131ac4feb3c299a25a75b553ba49
https://pubmed.ncbi.nlm.nih.gov/34109093

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Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations

Autor: Akshay V. Gaikwad, Suyash P. Awate

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030781903
IPMI

Typical methods for semantic image segmentation rely on large training sets comprising pixel-level segmentations and pixel-level classifications. In medical applications, a large number of training images with per-pixel segmentations are difficult to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::613095c5ea9fa92ba19e82a15509dc03
https://doi.org/10.1007/978-3-030-78191-0_48

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Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size

Autor: Suyash P. Awate, Saurabh J. Shigwan, Akshay V. Gaikwad

Publikováno v: ISBI

Statistical shape priors can be crucial in segmenting objects when the data differentiates poorly between the object and its surroundings. For reliable learning, while some methods need high-quality expert segmentations, other methods need large trai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bf311f37731f64fd02e8e90a18fd22b
https://doi.org/10.1109/isbi45749.2020.9098496

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A Statistical Model for Smooth Shapes in Kendall Shape Space

Autor: Suyash P. Awate, Saurabh J. Shigwan, Akshay V. Gaikwad

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319245737
MICCAI (3)

This paper proposes a novel framework for learning a statistical shape model from image data, automatically without manual annotations. The framework proposes a generative model for image data of individuals within a group, relying on a model of grou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::164237ec590adec3028a858d964c3338
https://doi.org/10.1007/978-3-319-24574-4_75

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