AI methods for breast cancer risk prediction using multimodal data

AI methods for breast cancer risk prediction using multimodal data

Breast cancer is one of the top cancers worldwide, both in developed and less developed countries and late detection makes the treatment less successful and reduced the survival chances. There are deep learning methods developed, however the performance based only on MMG is still low for clinical us...

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Main Author: Xiao, Qinhui
Other Authors: Jiang Xudong
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Online Access:https://hdl.handle.net/10356/172961
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1729612024-01-12T15:45:33Z AI methods for breast cancer risk prediction using multimodal data Xiao, Qinhui Jiang Xudong School of Electrical and Electronic Engineering A*STAR Institute for Infocomm Research EXDJiang@ntu.edu.sg Engineering::Computer science and engineering::Computer applications::Life and medical sciences Breast cancer is one of the top cancers worldwide, both in developed and less developed countries and late detection makes the treatment less successful and reduced the survival chances. There are deep learning methods developed, however the performance based only on MMG is still low for clinical usage. We will develop new AI model for multimodal breast cancer risk prediction, based on large datasets. Strategies of active learning and Visual transformer will be explored to enhance the risk prediction performance. Master of Science (Signal Processing) 2024-01-08T06:02:19Z 2024-01-08T06:02:19Z 2023 Thesis-Master by Coursework Xiao, Q. (2023). AI methods for breast cancer risk prediction using multimodal data. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172961 https://hdl.handle.net/10356/172961 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Xiao, Qinhui
AI methods for breast cancer risk prediction using multimodal data
description Breast cancer is one of the top cancers worldwide, both in developed and less developed countries and late detection makes the treatment less successful and reduced the survival chances. There are deep learning methods developed, however the performance based only on MMG is still low for clinical usage. We will develop new AI model for multimodal breast cancer risk prediction, based on large datasets. Strategies of active learning and Visual transformer will be explored to enhance the risk prediction performance.
author2 Jiang Xudong
author_facet Jiang Xudong
Xiao, Qinhui
format Thesis-Master by Coursework
author Xiao, Qinhui
author_sort Xiao, Qinhui
title AI methods for breast cancer risk prediction using multimodal data
title_short AI methods for breast cancer risk prediction using multimodal data
title_full AI methods for breast cancer risk prediction using multimodal data
title_fullStr AI methods for breast cancer risk prediction using multimodal data
title_full_unstemmed AI methods for breast cancer risk prediction using multimodal data
title_sort ai methods for breast cancer risk prediction using multimodal data
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/172961
_version_ 1789483033173164032

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