Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Dhiraj Manohar Dhane"'
Publikováno v:
Pattern Recognition. 73:216-234
Statistics show that worldwide motor vehicle collisions lead to significant deaths and disabilities as well as substantial financial costs to both society and the individuals involved. Unintended lane departure is a leading cause of road fatalities b
Publikováno v:
Journal of Medical and Biological Engineering. 36:795-809
This paper proposes an efficient and accurate exudate and optic disc (OD) region segmentation methodology. Exudate, an inflammation that occurs in diabetic retinopathy, must be localized for diabetic retinopathy diagnosis. Similarly, the OD region mu
Autor:
Chandan Chakraborty, Dhiraj Manohar Dhane, Chittaranjan Bar, Maitreya Maity, Jyotirmoy Chatterjee
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811082399
Visual observation is the gold standard for chronic skin ulcer assessment. The colour is the primary parameter for the visual evaluation and essential feature for automated wound diagnosis and monitoring. Inconsistent camera configuration and lightin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47ffc4f1f2900553c5fc9122732858c9
https://doi.org/10.1007/978-981-10-8240-5_63
https://doi.org/10.1007/978-981-10-8240-5_63
Autor:
Dhiraj Manohar Dhane, Jyotirmoy Chatterjee, Chandan Chakraborty, Chittaranjan Bar, Maitreya Maity
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811082368
A skin ulcer is a clinical pathology of localized damage to skin and tissue instigated by venous insufficiency. Precise identification of wound surface area is one of the challenging tasks in the dermatological evaluation. The assessment is carried o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c0c9626bb8af3d91fc5c7945d574591
https://doi.org/10.1007/978-981-10-8237-5_68
https://doi.org/10.1007/978-981-10-8237-5_68
Publikováno v:
Procedia Computer Science. 58:438-446
The objective of this paper is to select the best filter for the camera-captured digital wound image pre-processing. Wound images give the most essential information about the wound. The information may be size, status of the wound, tissue compositio
Publikováno v:
Journal of Medical Systems. 41
The analysis of pathophysiological change to erythrocytes is important for early diagnosis of anaemia. The manual assessment of pathology slides is time-consuming and complicated regarding various types of cell identification. This paper proposes an
Autor:
Tushar Mungle, Chandan Chakraborty, Chittaranjan Bar, Dhiraj Manohar Dhane, Maitreya Maity, Maheshkumar H. Kolekar, Arun Achar
Publikováno v:
Computers in biology and medicine. 89
Chronic wound is an abnormal disease condition of localized injury to the skin and its underlying tissues having physiological impaired healing response. Assessment and management of such wound is a significant burden on the healthcare system. Curren
Spectral Clustering for Unsupervised Segmentation of Lower Extremity Wound Beds Using Optical Images
Autor:
Chittaranjan Bar, Kunal Sanyal, Vishal Krishna, Arun Achar, Chandan Chakraborty, Dhiraj Manohar Dhane
Publikováno v:
Journal of medical systems. 40(9)
Chronic lower extremity wound is a complicated disease condition of localized injury to skin and its tissues which have plagued many elders worldwide. The ulcer assessment and management is expensive and is burden on health establishment. Currently a
Autor:
Dhiraj Manohar Dhane, Tushar Mungle, Chandan Chakraborty, Maitreya Maity, Rupak Chakraborty, Vasant Deokamble
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811027376
SSCC
SSCC
The internet is a big giant in the today’s world playing the backbone for information and communication technologies. Most of the network application needs a very reliable and one-way authentication process to ensure system resources are securely a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a5770bd0872edfeb13e2c89a780ee3
https://doi.org/10.1007/978-981-10-2738-3_24
https://doi.org/10.1007/978-981-10-2738-3_24
Publikováno v:
Journal of Medical Imaging and Health Informatics. 2:195-199