Výsledky vyhledávání - "Ketki C. Pathak"

Diabetic Retinopathy Diagnosis and Categorization using Deep Learning - A Review

Autor: Reshma R. Tharakan, Riddhi B. Shah, Dhruvi C. Jariwala, Ketki C. Pathak, Bhavya N. Patel

Publikováno v: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS).

Diabetic Retinopathy (DR), the foremost root which leads to blindness is found among working-age adults. It is caused due to diabetes that affects human eye. When such a disease is detected, then at first it does not show any symptoms or shows only m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03d405e149e94211d94cfb82f19690ac
https://doi.org/10.1109/iciccs51141.2021.9432312

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Adaptive Prediction Methods for Medical Image/Video compression for Telemedicine Application

Autor: Jignesh N. Sarvaiya, Anand D. Darji, Ketki C. Pathak

Due to rapid development of multimedia communication and advancement of image acquisition process, there is a crucial requirement of high storage and compression techniques to mitigate high data rate with limited bandwidth scenario for telemedicine a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b93e854f8b5b15929fab14cc6e86427b
https://doi.org/10.4018/978-1-7998-8052-3.ch017

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An Efficient Dadda Multiplier using Approximate Adder

Autor: Azba Patel, Anjali Gangadwala, Shreya Diwan, Jignesh N. Sarvaiya, Zinal Bhatt, Ketki C. Pathak, Anand D. Darji

Publikováno v: TENCON

In most multimedia applications, human beings can gather useful information from approximate outputs. The approximation concept is dominating in the field of digital signal processing and multimedia applications as it allows the reduction of area and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e1836dfaeb5cb16e9e0f71ac434601e
https://doi.org/10.1109/tencon50793.2020.9293737

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Novel Low-Complex 4 × 4 and 16 × 16 Intra-prediction Architecture for Error Concealment for H.264

Autor: Anand D. Darji, Ketki C. Pathak, Jignesh N. Sarvaiya

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811555459

There are various advanced video-displaying instruments which are responsible for producing high-resolution video data. Due to damaged disk like DVD or other media player, there is huge probability of distortion occur in reproduced video data. Error

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d126bde7bf4685becc95d200fd05a58f
https://doi.org/10.1007/978-981-15-5546-6_51

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Deep Learning-Based Alzheimer Disease Detection

Autor: Swathi S. Kundaram, Ketki C. Pathak

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811555459

Deep learning methods have gained more popularity recently in medical image analysis. This work proposes a deep convolutional neural network (DCNN) for Alzheimer’s disease classification using magnetic resonance imaging (MRI) samples. Alzheimer dis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf61ff4ec9fdb57a38ef8915a59893ab
https://doi.org/10.1007/978-981-15-5546-6_50

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Neural Network and SVM Based Kidney Stone Based Medical Image Classification

Autor: Priyanka Chak, Payal Navadiya, Ketki C. Pathak, Bhavya Parikh

Publikováno v: Communications in Computer and Information Science ISBN: 9789811540141
CVIP (1)

In recent medical science, automatic diagnosis system is highly demanded Our research is designed to detect the kidney stones by using digital signal processing techniques. In this proposed method we have applied Neural network based feature extracti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1dc38be490dc1be4e27e09638e9f4623
https://doi.org/10.1007/978-981-15-4015-8_14

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