Please use this identifier to cite or link to this item:
http://20.198.91.3:8080/jspui/handle/123456789/8923Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Sarkar, Ram | - |
| dc.contributor.author | Das, Arpita | - |
| dc.date.accessioned | 2025-10-13T10:21:13Z | - |
| dc.date.available | 2025-10-13T10:21:13Z | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2022 | - |
| dc.identifier.other | DC3554 | - |
| dc.identifier.uri | http://20.198.91.3:8080/jspui/handle/123456789/8923 | - |
| dc.format.extent | viii, 39 p. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Jadavpur University, Kolkata, West Bengal | en_US |
| dc.subject | The SEER | en_US |
| dc.subject | WHO (World Health Organization) | en_US |
| dc.title | An ensemble of deep learning models for detecting invasive ductal carcinoma from Histopathological image | en_US |
| dc.type | Text | en_US |
| dc.department | Jadavpur University, Dept. of Computer Science and Engineering | en_US |
| Appears in Collections: | Dissertations | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| M.Tech (Dept.of Computer Science and Engineering) Arpita Das.pdf | 1.25 MB | Adobe PDF | View/Open |
Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.