Detection of white blood cells using convolutional neural network (Record no. 18863)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230214143903.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230214b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19997 |
| Author | Swami, Someshwar A |
| 245 ## - TITLE STATEMENT | |
| Title | Detection of white blood cells using convolutional neural network |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.12(6), Nov-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Haryana |
| Name of publisher, distributor, etc. | IOSR - International Organization of Scientific Research |
| Year | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 14-20p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | In this work, image processing and deep learning mechanisms are used to locate and classify the<br/>White Blood Cells based on their categories. The White Blood Cells which are classified are counted and<br/>compared with the standard range of the types available in the human blood sample. By comparing the<br/>availability of White Blood Cells types, the normal and the abnormal blood samples are predicted accordingly.<br/>The dataset of the normal blood sample is obtained from the laboratory in biotechnology department and the<br/>datasets used for training in Convolutional Neural Network are attained from the website Leukocyte Images for<br/>Segmentation and Classification (LISC). This will increase efficiency and reduce the doctor’s burden as<br/>traditional manual counting is dull, tedious, and possibly subjective.<br/>Background: White Blood Cells (WBCs) are also called leukocytes or leucocytes. These are cells of the immune<br/>system that are involved in the body against both infectious disease and foreign materials. These cells help fight<br/>infections by attacking bacteria, viruses, and germs that invade the body. All leukocytes are produced and<br/>derived from a multipotentcell. This is also known as a hematopoietic stem cell. They live for about three to four<br/>days in<br/>the human body. The segmentation has to be done to extract the nucleus of white blood cell image. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 19998 |
| Co-Author | Dabir, R. S. |
| 773 0# - HOST ITEM ENTRY | |
| Title | IOSR journal of VLSI and signal processing (IOSR-JVSP) |
| Place, publisher, and date of publication | Gurgaon International Organization Of Scientific Research (IOSR) |
| International Standard Serial Number | 2319 – 4197 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://www.iosrjournals.org/iosr-jvlsi/papers/vol12-issue6/B12061420.pdf |
| 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 | 14/02/2023 | 2023-0321 | 14/02/2023 | 14/02/2023 | Articles Abstract Database |