| Type of Material: | Thesis |
| Title: | Development of CNN Based On Deep Learning and Image Pre Processing |
| Researcher: | Rama,J |
| Guide: | Nalini,C |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2019 |
| Language: | English |
| Subject: | Computer Science | Computer Science Artificial Intelligence | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2019; D13CS006 |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 455056 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-20 16:46:07 | |
| 008 | __ | 240920t2019||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_455056 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aRama,J|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aDevelopment of CNN Based On Deep Learning and Image Pre Processing |
| 260 | __ | |aChennai|bBharath University, Chennai|c2019 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2019|oD13CS006 |
| 520 | __ | |aThe demand for techniques based on computer vision are constantly increasing due to the development of techniques for decision making pertaining to medical, social and other primary disciples of day to day life. Image processing is a subset of computer vision in which the computer vision systems make use of the image processing algorithms to carry out vision emulation for recognizing objects. This study deal with construction of CNN based on deep learning for classifying Chest x-ray images into five major classes and it is executed on a GPU based high performance computing platform. The selected area of studies involve the concept in Construction of CNN, Varying Estimators, varying number of neurons, varying activation function, Data augmentation and Classification of medical images. The purpose of this study is to improve the range of accuracy and error loss by the generated model for detecting pathology in the chest X-ray images. The Chest X-ray images are the most commonly available radiological examinat |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Artificial Intelligence |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aNalini,C|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/371398|yShodhganga |
| 905 | __ | |afromsg |
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