Detail publikace

DMRBNet: Dilated Multi-scale Residual Block-based Deep Network for Detection of Breast Cancer from MRI Images

SINHA,H.. KARNATI, AGGARWAL, G.M. DUTTA, M.K. MEZINA, A., BURGET, R.

Originální název

DMRBNet: Dilated Multi-scale Residual Block-based Deep Network for Detection of Breast Cancer from MRI Images

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Breast cancer (BC) is a common type of cancer that develops from breast tissue cells. Early detection is critical, and mammography is an important tool for this. A biopsy is indicated for lesions with a risk of malignancy of more than 2%, however, only a tiny number of them are confirmed to be malignant. Magnetic Resonance Imaging (MRI) is employed to eliminateunneeded biopsies, but it is a sophisticated and time-consuming operation requiring specialized knowledge. To improve breast cancer diagnosis, a computer-aided diagnostic system using MRI images was developed. The system utilizes a novel neural network called dilated multi-scale residual block-based convolutional neural network (DMRBNet), which effectively extracts features from various image regions. Compared to seven recent advanced approaches, DMRBNet demonstrated superior performance on the BC-MRI dataset. The accuracy of the network is 98.57%, and the error rate is 0.1005. These findings highlight its potential for medical and industrial applications in breast cancer detection.

Klíčová slova

Breast cancer;convolutional neural network;residual connection;MRI images;classification;multi-scale features

Autoři

SINHA,H..; KARNATI, AGGARWAL, G.;M.; DUTTA, M.K.; MEZINA, A., BURGET, R.

Vydáno

30. 10. 2023

Místo

Ghent

ISBN

979-8-3503-9328-6

Kniha

15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Strany od

38

Strany do

43

Strany počet

5

BibTex

@inproceedings{BUT185377,
  author="SINHA,H.. and KARNATI, AGGARWAL, G. and M. and DUTTA, M.K. and MEZINA, A., BURGET, R.",
  title="DMRBNet: Dilated Multi-scale Residual Block-based Deep Network for Detection of Breast Cancer from MRI Images",
  booktitle="15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
(ICUMT)",
  year="2023",
  pages="38--43",
  address="Ghent",
  isbn="979-8-3503-9328-6"
}