Effective breast cancer image segmentation and classification using deep neural networks (Record no. 29920)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00634npc a2200193Ia 4500 |
| 005 - DATE & TIME | |
| control field | 20241105110534.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160331s9999 xx 000 0 und d |
| 040 ## - University/Facalty | |
| Original cataloging agency | Central Library-NITS |
| 041 ## - Language | |
| Language | English |
| 082 ## - DDC NUMBER | |
| Classification number | 004 |
| Book Number | VAK |
| 100 ## - Personal Name | |
| Personal name | Vaka, Anji Reddy |
| 245 ## - TITLE STATEMENT | |
| Title | Effective breast cancer image segmentation and classification using deep neural networks |
| Statement of Resposibility | by Anji Reddy Vaka |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Date of publication, distribution, etc | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Collation | xxvi, 161p.; 30cm |
| 500 ## - GENERAL NOTE | |
| General note | Guided by Badal Soni |
| 502 ## - Dissertation Note | |
| Dissertation Note | National Institute of Technology, Silchar |
| Degree Type | Doctor of Philosophy (Ph.D.) |
| Year Degree Granted | 2024 |
| 650 ## - Subject | |
| Subject | Computer Science & Engineering |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Shelving location | Date acquired | Koha issues (times borrowed) | Koha full call number | Barcode (Accession No.) | Koha date last seen | Price effective from | Koha item type | Nonpublic note (lost item payment) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | National Institute of Technology, Silchar | National Institute of Technology, Silchar | Central Library@NITS | 11/05/2024 | 004 VAK | TH608 | 11/05/2024 | 11/05/2024 | Thesis |
