Variational Auto encoders for Improved Breast Cancer Classification

Author:

Sreelekshmi V,Jyothisha J Nair

Publisher

Elsevier BV

Reference21 articles.

1. Sohrab Hossain, and Mohammed Nazim Uddin. Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor's morphological information;Sakib Khan Inan;Informatics in Medicine Unlocked,2023

2. Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey;Oza;Neural Computing and Applications,2022

3. A review of medical image data augmentation techniques for deep learning applications;Chlap;Journal of Medical Imaging and Radiation Oncology,2021

4. Understanding data augmentation for classification: when to warp?;Wong,2016

5. Data augmentation for brain-tumor segmentation: a review;Nalepa;Frontiers in computational neuroscience,2019

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