A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices.

Computers in Biology and Medicine
Tejalal ChoudharyJagannathan Sarangapani

Abstract

A significant progress has been made in automated medical diagnosis with the advent of deep learning methods in recent years. However, deploying a deep learning model for mobile and small-scale, low-cost devices is a major bottleneck. Further, breast cancer is more prevalent currently, and ductal carcinoma being its most common type. Although many machine/deep learning methods have already been investigated, still, there is a need for further improvement. This paper proposes a novel deep convolutional neural network (CNN) based transfer learning approach complemented with structured filter pruning for histopathological image classification, and to bring down the run-time resource requirement of the trained deep learning models. In the proposed method, first, the less important filters are pruned from the convolutional layers and then the pruned models are trained on the histopathological image dataset. We performed extensive experiments using three popular pre-trained CNNs, VGG19, ResNet34, and ResNet50. With VGG19 pruned model, we achieved an accuracy of 91.25% outperforming earlier methods on the same dataset and architecture while reducing 63.46% FLOPs. Whereas, with the ResNet34 pruned model, the accuracy increases to 91.80...Continue Reading

References

Nov 9, 2010·Cancer Biology & Therapy·Gautam K MalhotraVimla Band
Nov 6, 2015·IEEE Transactions on Bio-medical Engineering·Fabio A SpanholLaurent Heutte
Nov 19, 2015·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Eduardo CazapAhmed Elzawawy
Jan 7, 2017·IEEE Transactions on Pattern Analysis and Machine Intelligence·Vijay BadrinarayananRoberto Cipolla
Aug 5, 2017·Medical Image Analysis·Geert LitjensClara I Sánchez
Dec 6, 2017·IEEE Journal of Translational Engineering in Health and Medicine·Karen HaneyPaul C Pearlman
Jun 1, 2019·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Zar Nawab Khan SwatiJianfeng Lu
Mar 17, 2020·IEEE/ACM Transactions on Computational Biology and Bioinformatics·Rishav SinghSanjay Kumar Singh
Jul 14, 2020·Computers in Biology and Medicine·Yan Zeng, Jinmiao Zhang
Aug 11, 2020·Computers in Biology and Medicine·Kalpana GeorgePaul Joseph K

❮ Previous
Next ❯

Related Concepts

Related Feeds

Carcinoma, Ductal

Ductal carcinoma is a malignant neoplasm involving the ductal systems of any of a number of organs, such as the mammary glands, pancreas, prostate or lacrimal gland. Discover the latest research on ductal carcinoma here.

Related Papers

IEEE Access : Practical Innovations, Open Solutions
Sivaramakrishnan RajaramanSameer K Antani
IEEE Transactions on Neural Networks and Learning Systems
Mingbao LinRongrong Ji
Neural Networks : the Official Journal of the International Neural Network Society
Christos ChatzikonstantinouPetros Daras
Mathematical Biosciences and Engineering : MBE
Hassan Ali KhanMuhammad Umer Mushtaq
© 2021 Meta ULC. All rights reserved