Convolutional neural networks for medical image processing applications /
"With the development of technology, living standards rise and people's expectations increase. This situation makes itself felt strikingly especially in the medical field. The use of medical devices is rapidly increasing to protect human health. It is very important to quickly evaluate the...
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| Format: | eBook |
| Language: | English |
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Boca Raton, FL :
CRC Press,
2022.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Convolutional Neural Networks for Segmentation in Short-Axis Cine Cardiac Magnetic Resonance Imaging : Review and Considerations / Manuel Pérez-Pelegrí, José V. Monmeneu, María P. López-Lereu and David Moratal
- Comparison of Traditional Machine Learning Algorithms and Convolution Neural Networks for Detection of Peripheral Malarial Parasites in Blood Smears / Aravinda C.V., Meng Lin, Udaya Kumar Reddy K.R., H.N. Prakash, Amar Prabhu G. and Sudeepa K.B.
- Deep Learning-Based Computer-Aided Diagnosis System for Attention Deficit Hyperactivity Disorder Classification Using Synthetic Data / Gulay Cicek and Aydın Akan
- Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation from CT Images / A. Emre Kavur, Ludmila I. Kuncheva and M. Alper Selver
- Convolutional Neural Networks for Medical Image Analysis / Rajesh Gogineni and Ashvini Chaturvedi
- Ulcer and Red Lesion Detection in Wireless Capsule Endoscopy Images using CNN / Said Charfi, Mohamed El Ansari, Ayoub Ellahyani and Ilyas El Jaafari
- Do More With Less : Deep Learning in Medical Imaging / Shivani Rohilla, Mahipal Jadeja and Emmanuel S. Pilli
- Automatic Classification of fMRI Signals from Behavioral, Cognitive and Affective Tasks Using Deep Learning / Cemre Candemir, Osman Tayfun Bişkin, Mustafa Alper Selver and Ali Saffet Gönül
- Detection of COVID-19 in Lung CT-Scans using Reconstructed Image Features / Ankita Sharma and Preety Singh
- Dental Image Analysis : Where Deep Learning Meets Dentistry / Bernardo Silva, Laís Pinheiro, Katia Andrade, Patrícia Cury and Luciano Oliveira
- Malarial Parasite Detection in Blood Smear Microscopic Images : A Review on Deep Learning Approaches / Kinde Anlay Fante and Fetulhak Abdurahman
- Automatic Classification of Coronary Stenos is using Convolutional Neural Networks and Simulated Annealing / Luis Diego Rendon-Aguilar, Ivan Cruz-Aceves, Arturo Alfonso, Fernandez-Jaramillo, Ernesto Moya-Albor, Jorge Brieva and Hiram Ponce
- Deep Learning Approach for Detecting COVID-19 from Chest X-ray Images / Murali Krishna Puttagunta, S. Ravi and C. Nelson Kennedy Babu.