| 000 -LEADER |
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| fixed length control field |
a |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221228131159.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221228b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
19390 |
| Author |
Kumbhar, Vinod B |
| 245 ## - TITLE STATEMENT |
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| Title |
Novel Method of CT Chest Image Segmentation and Analysis for Early Lung Cancer Detection |
| 250 ## - EDITION STATEMENT |
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| Volume, Issue number |
Vol, 103(6), Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
New York |
| Name of publisher, distributor, etc. |
Springer |
| Year |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Pagination |
1875-1883p |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Lung cancer is one of the most prominent and deadly diseases across the world. However, early detection of this disease has proved very useful in increasing the survival rate of the affected patients. With the development of sophisticated image processing algorithms, computer-aided diagnosis (CAD) is evolving as one of the most efficient methods for detecting lung cancer. CT scanning technique is routinely applied for diagnosing lung cancer. These CT scan images are checked by radiologists who comment on the presence or absence of cancer. However, CT scan images of an early-stage cancer are very hard to be identified with naked eyes. In this scenario, the CAD plays a major role to assist the radiologists. The four steps of images processing techniques employed in CAD are—(1) reading the image, (2) preprocessing or filtering the image, (3) morphological processing that involves erosion, dilation, etc., and (4) detecting a cancerous region in an image and improving the cancerous region's status as a candidate for true or false positive status. The proposed method in this work uses efficient image segmentation algorithms that help to enhance the accuracy of the diagnosis. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
4623 |
| Topical term or geographic name entry element |
Electrical Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
19391 |
| Co-Author |
Chavan, Mahesh S |
| 773 0# - HOST ITEM ENTRY |
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| Title |
Journal of the institution of engineers (India): Series B |
| International Standard Serial Number |
2250-2106 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| URL |
https://link.springer.com/article/10.1007/s40031-022-00808-5 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Koha item type |
Articles Abstract Database |
