Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Satishkumar S. Chavan"'
Publikováno v:
Journal of the Indian Society of Remote Sensing. 49:2033-2055
Many pansharpening algorithms are based on the principle of extracting spatial details from panchromatic (PAN) images and injecting them into multispectral (MS) images. In this paper, we present two fusion approach based on same principle by integrat
Autor:
Praful Hambarde, Sanjay N. Talbar, Nilesh Sable, Meenakshi Thakur, Satishkumar S. Chavan, Abhishek Mahajan
Publikováno v:
Biocybernetics and Biomedical Engineering. 40:1421-1435
Prostate lesion detection in an axial T2 weighted (T2W) MR images is a very challenging task due to heterogeneous and inconsistent pixel representation surrounding the prostate boundary. In this paper, a radiomics based deeply supervised U-Net is pro
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811620072
Breast cancer is the most lethal cancer among women. Early-stage diagnosis may reduce the mortality associated with breast cancer subjects. Diagnosis can be made with screening mammography. The main challenge of screening mammography is its high risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c8db526d7b7119ab26a17d4fdb4b4cd
https://doi.org/10.1007/978-981-16-2008-9_11
https://doi.org/10.1007/978-981-16-2008-9_11
Autor:
Sanjay N. Talbar, Satishkumar S. Chavan, Abhishek Mahajan, Meenakshi Thakur, Nilesh Sable, Praful Hambarde
Publikováno v:
Biomedical Signal Processing and Control. 51:19-29
Automatic peripheral zone (PZ) and intra-prostatic urethra segmentation has clinical significance in analysis of prostate health management. It is interesting and much challenging task due to heterogeneous and inconsistent pixel intensities around pr
Publikováno v:
2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE).
TIn this era of technological advancements, speech recognition has gained prominence and increased demand especially with the rise of AI based assistants like Google Assistant, Microsoft Cortana, Apple's Siri, Amazon's Alexa to name a few. Identifyin
Publikováno v:
Techno-Societal 2020 ISBN: 9783030699208
Patients suffering from dysarthria have trouble controlling their muscles involved in speaking, thereby leading to spoken speech that is indiscernible. There have been a number of studies that have addressed speech impairments; however additional res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee8896799877550ae65ae31765f1489d
https://doi.org/10.1007/978-3-030-69921-5_45
https://doi.org/10.1007/978-3-030-69921-5_45
Autor:
Christy Lyona, Satishkumar S. Chavan, Mayura Gavhane, Joyce Menezes, Ragini M. Rohatgi, Tushar Shinde
Publikováno v:
2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN).
Diabetic retinopathy (DR) is an advanced stage of retinal disease with increasing prevalence and the major cause of blindness. In DR, blood vessels get damaged over time at the back of the retina. Large numbers of retinal images are generated as diab
Autor:
Nitin L. Chutke, Abhijeet Dhanawade, Siddhesh Bagwe, Shreyas Kawale, Satishkumar S. Chavan, Sumantu Powale
Publikováno v:
2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN).
The advancement in camera technology, high speed connectivity, and availability of huge information over media resulted into developing better algorithms for person identification. However, the recognition of a person in low resolution cameras like C
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811548505
Vehicle number plate detection and recognition (VNPR) is a pioneering methodology which has a large impact on the development of road safety, automation in toll collection, transportation efficacy, and support to the traffic authorities. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d70e2dc413f09773db3113ea56849b1
https://doi.org/10.1007/978-981-15-4851-2_19
https://doi.org/10.1007/978-981-15-4851-2_19
Autor:
Pratibha Dumane, Farheen Shaikh, Satishkumar S. Chavan, Chirayu Thakur, Sweekrithi Shetty, Natasha Mathias
Publikováno v:
SSRN Electronic Journal.
This paper presents detection of micro-cracks in solar cells using Electroluminescence (EL) images. The preprocessing step in this work involved separation of solar panel section from background of EL image, use of perspective transformation, and sep