Titlebook: Artificial Intelligence on Medical Data; Proceedings of Inter Mousumi Gupta,Sujata Ghatak,Abir Lal Mukherjee Conference proceedings 2023 Th

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Performance Evaluation of EfficientNet Model Towards Malaria Parasite Detection in Segmented Blood Cear slides under a microscope by trained microscopists to detect infected blood cells. This process is expensive, and results depend both on the quality of smear and on the expertise of the microscopist. Thus, work done in this field is focussed on automating this detection of infected cells. Early

ANTE

Retinal Vessel Segmentation in Fundus Image Using Low-Cost Multiple U-Net Architecture segmentation, each Fundus image is segmented into three zones, each of homogenous intensity, through a threshold-based algorithm designed under the present work. Thereafter, three U-Nets are separately trained for vessel segmentation in each of three zones. The models so trained are tested on two b

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A Survey on UWB Textile Antenna for Wireless Body Area Network (WBAN) Applicationsone’s regular habits, the elements (i.e. antenna and sensor) should be embedded in clothes. Wearable antennas work in close proximity to human body. Since there is coupling of antenna radiations with human body tissues, the antenna performance parameters are affected. The performance of ultra-wideba

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Effective Overview of Different ML Models Used for Prediction of COVID-19 Patientsically verified samples utilizing the laboratory molecular testing performs (1100 Covid-19 positive and 1100 Covid-19 negative). The clinical labels were applied to the results, and severity of the samples may be judged based on quantitative RT-PCR (qRT-PCR), cycle threshold, and patient lymphocyte

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Melanoma Cell Detection by Using K-means Clustering Segmentation and Abnormal Cell Detection Techniqction of melanocytes from histopathological image is difficult because melanocytes are very much similar to the keratinocytes. To detect melanoma cells at first, segmentation is required followed by calculation of perimeter of the cells. If it is greater than the threshold value, then it is identifi

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2212-9391 ed tomography, optical and confocal microscopy, and video an.This book includes high-quality papers presented at the Second International Symposium on Computer Vision and Machine Intelligence in Medical Image Analysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration

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Retinal Vessel Segmentation in Fundus Image Using Low-Cost Multiple U-Net Architectureresent work. Thereafter, three U-Nets are separately trained for vessel segmentation in each of three zones. The models so trained are tested on two benchmark datasets, viz., DRIVE and STARE and have performed comparably with the present state-of-the-art methods.

Preamble

Conference proceedings 2023nalysis (ISCMM 2021), organized by Computer Applications Department, SMIT in collaboration with Department of Pathology, SMIMS, Sikkim, India, and funded by Indian Council of Medical Research, during 11 – 12 November 2021. It discusses common research problems and challenges in medical image analysi