Zobrazeno 1 - 10 of 51 pro vyhledávání: '"P Malin Bruntha"'
1
Akademický článek
A novel hybridized feature extraction approach for lung nodule classification based on transfer learning technique
Autor: P Malin Bruntha, S Immanuel Alex Pandian, J Anitha, Siril Sam Abraham, S Niranjan Kumar
Publikováno v: Journal of Medical Physics, Vol 47, Iss 1, Pp 1-9 (2022)
Purpose: In the field of medical diagnosis, deep learning-based computer-aided detection of diseases will reduce the burden of physicians in the diagnosis of diseases especially in the case of lung cancer nodule classification. Materials and Methods:
Externí odkaz: https://doaj.org/article/59d54cc9175c4d6699f8ce8e3e5c072e
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2
Akademický článek
A power-efficient pipeline based clock gating FIFO for a dual ported memory array
Autor: S. Dhanasekar, V. Govindaraj, P. Malin Bruntha, L. Jubair Ahmed
Publikováno v: Songklanakarin Journal of Science and Technology (SJST), Vol 45, Iss 2, Pp 182-188 (2023)
A FIFO is a special type of buffer that controls the data flow between the sender and receiver. It is used to monitor the serial data flow and to avoid mismatch conditions. In general, the dual-ported memory cell array suffers from dynamic power di
Externí odkaz: https://doaj.org/article/8975e353f17e4638a1e3939c0d524324
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3
Akademický článek
Lung_PAYNet: a pyramidal attention based deep learning network for lung nodule segmentation
Autor: P. Malin Bruntha, S. Immanuel Alex Pandian, K. Martin Sagayam, Shivargha Bandopadhyay, Marc Pomplun, Hien Dang
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Accurate and reliable lung nodule segmentation in computed tomography (CT) images is required for early diagnosis of lung cancer. Some of the difficulties in detecting lung nodules include the various types and shapes of lung nodules, lung n
Externí odkaz: https://doaj.org/article/f66fba49c2554a57a01205705d2c8ee6
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4
Akademický článek
Classification of Lung Nodule Using Hybridized Deep Feature Technique
Autor: Malin Bruntha, Immanuel Alex Pandian, Siril Sam Abraham
Publikováno v: Journal of Information Technology Management, Vol 12, Iss Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications., Pp 109-128 (2020)
Deep learning techniques have become very popular among Artificial Intelligence (AI) techniques in many areas of life. Among many types of deep learning techniques, Convolutional Neural Networks (CNN) can be useful in image classification application
Externí odkaz: https://doaj.org/article/4f03a5115a7f4028a9b4e140992c374e
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