Current applications of deep learning in cancer diagnostics. (2023)
- Record Type:
- Book
- Title:
- Current applications of deep learning in cancer diagnostics. (2023)
- Main Title:
- Current applications of deep learning in cancer diagnostics
- Further Information:
- Note: Edited by Jyotismita Chaki, Aysegul Ucar.
- Editors:
- Chaki, Jyotismita
Uçar, Ayşegül - Contents:
- 1. Contemporary Trends in the Early Detection and Diagnosis of Human Cancers Using Deep Learning Techniques Nirmala Vasan Balasenthilkumaran and Sumit Kumar Jindal 2. Cancer Data Pre-Processing Techniques Jyotismita Chaki 3. A Survey on Deep Learning Techniques for Breast, Leukemia and Cervical Cancer Prediction N Jothiaruna and Anny Leema A 4. An Optimized Deep Learning Technique for Detecting Lung Cancer from CT Images M. Vanitha, R. Mangayarkarasi, M. Angulakshmi, and M. Deepa 5. Brain Tumor Segmentation Utilizing MRI Multimodal Images with Deep Learning C. Chellaswamy, P. Thiruvalar Selvan, S. Markkandan, and T. S. Geetha 6. Detection and Classification of Brain Tumors Using Light-Weight Convolutional Neural Network Sabyasachi Mukherjee, Arindam Biswas, and Oishila Bandyopadhyay 7. Parallel Dense Skip Connected CNN Approach for Brain Tumor Classification G. Yogeswararao, V. Naresh, R. Malmathanraj, P. Palanisamy, and Karthik Balasubramanian 8. Liver Tumor Segmentation Using Deep Learning Neural Networks Sumedha Vadlamani, Charit Gupta Paluri, Jaydev Jangiti, and Sumit Kumar Jindal 9. Deep Learning Algorithms for Classification and Prediction of Acute Lymphoblastic Leukemia I. Amrita and Snigdha Sen 10. Cervical Pap Smear Screening and Cancer Detection Using Deep Neural Network Munakala Lohith, Soumi Bardhan, and Oishila Bandyopadhyay 11. Cancer Detection Using Deep Neural Network: Differentiation of Squamous Carcinoma Cells in Oral Pathology Jayanthi Ganapathy 12.1. Contemporary Trends in the Early Detection and Diagnosis of Human Cancers Using Deep Learning Techniques Nirmala Vasan Balasenthilkumaran and Sumit Kumar Jindal 2. Cancer Data Pre-Processing Techniques Jyotismita Chaki 3. A Survey on Deep Learning Techniques for Breast, Leukemia and Cervical Cancer Prediction N Jothiaruna and Anny Leema A 4. An Optimized Deep Learning Technique for Detecting Lung Cancer from CT Images M. Vanitha, R. Mangayarkarasi, M. Angulakshmi, and M. Deepa 5. Brain Tumor Segmentation Utilizing MRI Multimodal Images with Deep Learning C. Chellaswamy, P. Thiruvalar Selvan, S. Markkandan, and T. S. Geetha 6. Detection and Classification of Brain Tumors Using Light-Weight Convolutional Neural Network Sabyasachi Mukherjee, Arindam Biswas, and Oishila Bandyopadhyay 7. Parallel Dense Skip Connected CNN Approach for Brain Tumor Classification G. Yogeswararao, V. Naresh, R. Malmathanraj, P. Palanisamy, and Karthik Balasubramanian 8. Liver Tumor Segmentation Using Deep Learning Neural Networks Sumedha Vadlamani, Charit Gupta Paluri, Jaydev Jangiti, and Sumit Kumar Jindal 9. Deep Learning Algorithms for Classification and Prediction of Acute Lymphoblastic Leukemia I. Amrita and Snigdha Sen 10. Cervical Pap Smear Screening and Cancer Detection Using Deep Neural Network Munakala Lohith, Soumi Bardhan, and Oishila Bandyopadhyay 11. Cancer Detection Using Deep Neural Network: Differentiation of Squamous Carcinoma Cells in Oral Pathology Jayanthi Ganapathy 12. Challenges and Future Scopes in Current Applications of Deep Learning in Human Cancer Diagnostics C.S. Vidhya, M. Loganathan, and R. Meenatchi … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2023
- Extent:
- 1 online resource (192 pages), illustrations (black and white, and colour)
- Subjects:
- 616.994075
Cancer -- Diagnosis -- Data processing
Deep learning (Machine learning)
Artificial intelligence -- Medical applications - Languages:
- English
- ISBNs:
- 9781000836196
9781000836158 - Related ISBNs:
- 9781032233857
- Notes:
- Note: Includes bibliographical references and index.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.754229
- Ingest File:
- 18_040.xml