Precision in chromosome karyotyping (Record no. 23322)
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| 000 -LEADER | |
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250813140952.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250813b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 27054 |
| Author | Velevela, Raghu Ram Chowdary |
| 245 ## - TITLE STATEMENT | |
| Title | Precision in chromosome karyotyping |
| Remainder of title | : an automated detection system |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.3(3), Sep-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Ghaziabad |
| Name of publisher, distributor, etc. | MAT Journals |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 20-30p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | In this study, an intelligent system tailored explicitly for the meticulous task of identifying and categorizing chromosomes in the context of karyotyping, a critical process in genetics and medical diagnosis. To achieve this, this project leveraged the capabilities of the YOLO (You Only Look Once) object detection framework, a sophisticated tool widely employed in computer vision. Our methodology involved training the system to recognize and categorize individual chromosomes by exposing them to diverse images containing these genetic structures. Our intelligent system presents several notable advantages. Firstly, it operates remarkably quickly, significantly reducing the time required for chromosome analysis. Secondly, it demonstrates exceptional accuracy, minimizing errors inherent in manual analysis. The implications of this system are profound, offering benefits to clinical geneticists and researchers. Medical professionals can utilize it to understand genetic conditions better, facilitating more precise diagnoses. Simultaneously, researchers can expedite their genetic studies, capitalizing on the efficiency of our automated system. The development process encompassed the creation of an extensive dataset comprising annotated chromosome images, serving as the foundational material for training our YOLO model. We achieved outstanding precision and recall rates through meticulous fine. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 22400 |
| Topical term or geographic name entry element | Data Science |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 27061 |
| Co-Author | Samhitha, V. Veda |
| 773 0# - HOST ITEM ENTRY | |
| Title | Journal of innovations in data science and big data management |
| Place, publisher, and date of publication | Ghaziabad MAT Journals |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://matjournals.net/engineering/index.php/JIDSBDM/article/view/832 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 13/08/2025 | 2025-1318 | 13/08/2025 | 13/08/2025 | Articles Abstract Database |