An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images-Reference-Cited by-同舟云学术

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An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images

Published:2023-12 Issue: Volume:234 Page:121081
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Carvalho Edson Damasceno,da Silva Neto Otilio Paulo^ORCID,Mathew Mano Joseph,de Carvalho Filho Antônio Oseas^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;Abadi;Software,2016

2. Towards breast cancer response prediction using artificial intelligence and radiomics;Amkrane,2020

3. Liver segmentation from computed tomography images using cascade deep learning;Araújo;Computers in Biology and Medicine,2022

4. K-means++: The advantages of careful seeding;Arthur,2007

5. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

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