| 000 -LEADER |
|---|
| fixed length control field |
00631nam a22001937a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
44332 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
BD-DhUET |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231122b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
0 |
| Modifying agency |
BD-DhUET |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
623.67 |
| Item number |
FAT/2023 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fatema Ahmed |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Densely connected U-net and auto-encoder based multi-task learning framework for nuclear segmentation in histopathological images |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Dhaka |
| Name of publisher, distributor, etc. |
Department of Electrical and Electronic Engineering, BUET |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 61 p. |
| 501 ## - WITH NOTE |
|---|
| With note |
One CD-ROM |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographies |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Image segmentation |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Thesis |