The impact of scan number and its preprocessing in micro-FTIR imaging when applying machine learning for breast cancer subtypes classification-Reference-Cited by-同舟云学术

The impact of scan number and its preprocessing in micro-FTIR imaging when applying machine learning for breast cancer subtypes classification

Published:2021-11 Issue: Volume:117 Page:103309
ISSN:0924-2031
Container-title:Vibrational Spectroscopy
language:en
Short-container-title:Vibrational Spectroscopy

Author:

del-Valle Matheus,dos Santos Moisés Oliveira^ORCID,dos Santos Sofia Nascimento^ORCID,de Castro Pedro Arthur Augusto,Bernardes Emerson Soares,Zezell Denise Maria^ORCID

Publisher

Elsevier BV

Subject

Spectroscopy

Reference25 articles.

1. Prognosis of breast cancer molecular subtypes in routine clinical care: a large prospective cohort study;Hennigs;BMC Cancer,2016

2. Molecular classification of breast carcinoma: from traditional, old-fashioned way to a new age, and a new way;Eliyatkin;J. Breast Health,2015

3. Breast cancer molecular stratification;Russnes;Am. J. Pathol.,2017

4. Attenuated Total Reflectance Fourier transform Infrared Spectroscopy: an analytical technique to understand therapeutic responses at the molecular level;Kalmodia;Sci. Rep.,2015

5. Role of infrared spectroscopy and imaging in cancer diagnosis;Kumar;Curr. Med. Chem.,2018

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recognition of breast cancer subtypes using FTIR hyperspectral data;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-04

2. Rapid identification of breast cancer subtypes using micro-FTIR and machine learning methods;Applied Optics;2023-02-08

3. Superior Machine Learning Method for breast cancer cell lines identification;2022 SBFoton International Optics and Photonics Conference (SBFoton IOPC);2022-10-13

4. Machine Learning Enhanced Optical Spectroscopy for Disease Detection;The Journal of Physical Chemistry Letters;2022-09-29

5. WPNet: Wide Pyramid Network for Recognition of HER2 Expression Levels in Breast Cancer Evaluation;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18