| Type of Material: | Thesis |
| Title: | A Study and Analysis of Computer Aided Diagnosis for Segmentation and Classification of Brain Tumor Medical Image Using Deep Convolution Neural Network |
| Researcher: | Afreen Habiba, A |
| Guide: | Persis Urbana Ivy, B |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2021 |
| 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; 2021; D15CS008 |
| Fulltext: | Shodhganga |
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| 001 | 455115 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-23 14:52:55 | |
| 008 | __ | 240923t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_455115 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAfreen Habiba, A|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aA Study and Analysis of Computer Aided Diagnosis for Segmentation and Classification of Brain Tumor Medical Image Using Deep Convolution Neural Network |
| 260 | __ | |aChennai|bBharath University, Chennai|c2021 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2021|oD15CS008 |
| 520 | __ | |aThe brain cancer prediction is mediocre at an early stage as it is impotent by the radiologist. Various investigations done so far manifest clearly that the nodule and other conventional segmentation algorithms are ineffectual. The proposed problem is two research works. priory need the preprocessing is very important role in image analysis. Removing the noise is challenging task but this proposed research is removed mixed noise with the new threshold technique in the domain of wavelet. Here four types of preprocessing technique is used to process the image Iso lateral filter, Recursive Least Square mean Adapter Filer, Hybrid Anisotropic Filter ,Adaptive Bilateral Filter among this technique Proposed Adaptive Bilateral Filter is more dominant and excellent enhancements and which can eradicate the noise . In the subsequent the first proposed work is implemented with the semantic and Fuzzy C- means segmentation of the brain tumor MRI images for feature extraction and classification is implemented in an enhanc |
| 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 | __ | |aPersis Urbana Ivy, B|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/395187|yShodhganga |
| 905 | __ | |afromsg |
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