Tumour discrimination using ultra-wideband (UWB) : early time tumour response
This report investigates the feasibility of a frequency-domain technique for classifying breast tumours into benign or malignant using only the early-time part of the UWB tumour responses. It reports findings and evaluates the accuracy of the technique by studying how the UWB early-time breast tumou...
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/46318 |
_version_ | 1826117538066464768 |
---|---|
author | Ong, Ya Wen. |
author2 | Soh Cheong Boon |
author_facet | Soh Cheong Boon Ong, Ya Wen. |
author_sort | Ong, Ya Wen. |
collection | NTU |
description | This report investigates the feasibility of a frequency-domain technique for classifying breast tumours into benign or malignant using only the early-time part of the UWB tumour responses. It reports findings and evaluates the accuracy of the technique by studying how the UWB early-time breast tumour backscatter responses are affected by the morphology of the tumour. The backscatter responses are then processed and classified using appropriate neural networks. |
first_indexed | 2024-10-01T04:29:12Z |
format | Final Year Project (FYP) |
id | ntu-10356/46318 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T04:29:12Z |
publishDate | 2011 |
record_format | dspace |
spelling | ntu-10356/463182023-07-07T15:49:43Z Tumour discrimination using ultra-wideband (UWB) : early time tumour response Ong, Ya Wen. Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This report investigates the feasibility of a frequency-domain technique for classifying breast tumours into benign or malignant using only the early-time part of the UWB tumour responses. It reports findings and evaluates the accuracy of the technique by studying how the UWB early-time breast tumour backscatter responses are affected by the morphology of the tumour. The backscatter responses are then processed and classified using appropriate neural networks. Bachelor of Engineering 2011-11-30T03:31:04Z 2011-11-30T03:31:04Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46318 en Nanyang Technological University 74 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Ong, Ya Wen. Tumour discrimination using ultra-wideband (UWB) : early time tumour response |
title | Tumour discrimination using ultra-wideband (UWB) : early time tumour response |
title_full | Tumour discrimination using ultra-wideband (UWB) : early time tumour response |
title_fullStr | Tumour discrimination using ultra-wideband (UWB) : early time tumour response |
title_full_unstemmed | Tumour discrimination using ultra-wideband (UWB) : early time tumour response |
title_short | Tumour discrimination using ultra-wideband (UWB) : early time tumour response |
title_sort | tumour discrimination using ultra wideband uwb early time tumour response |
topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
url | http://hdl.handle.net/10356/46318 |
work_keys_str_mv | AT ongyawen tumourdiscriminationusingultrawidebanduwbearlytimetumourresponse |