IR@JU Digital Repository
IR@JU preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
http://20.198.91.3:8080/jspui/handle/123456789/9686| Title: | Development of an automated system for diagnosis of ductal carcinoma using deep learning techniques |
| Authors: | Dey, Soumyajyoti |
| Advisors: | Das, Nibaran, guide |
| Keywords: | Ductal Carcinoma;Deep Learning;Medical Image Processing |
| Issue Date: | 2025 |
| Publisher: | Jadavpur University, Kolkata, West Bengal |
| Description: | Supervisor(s): Das, Nibaran (Dept. of Computer Science & Engineering, J.U.); Awarded year: 2025 |
| URI: | http://20.198.91.3:8080/jspui/handle/123456789/9686 |
| Appears in Collections: | 2025 (Awarded Year) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PhD Thesis (CSE) Soumyajyoti Dey.pdf | 95.58 MB | Adobe PDF | View/Open | |
| Abstract Soumyajyoti Dey.pdf | 87.49 kB | Adobe PDF | View/Open |
Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.