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Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A
  Critical Review

Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review

30 September 2020
Yuliana Jiménez-Gaona
María José Rodríguez-Álvarez
Vasudevan Lakshminarayanan
ArXivPDFHTML

Papers citing "Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review"

4 / 4 papers shown
Title
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer
  Diagnosis in Ultrasound Images
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images
Y. Mo
Chu Han
Yu Liu
Min Liu
Zhenwei Shi
...
Zeyan Xu
Xiaomei Huang
Zaiyi Liu
Ying Wang
C. Liang
ViT
MedIm
40
51
0
17 May 2022
Modified ResNet Model for MSI and MSS Classification of Gastrointestinal
  Cancer
Modified ResNet Model for MSI and MSS Classification of Gastrointestinal Cancer
C. S. Venkatesh
Caleb Meriga
M. Geethika
T. L. Gayatri
V. Aruna
11
1
0
03 Feb 2022
Semantic Segmentation and Object Detection Towards Instance
  Segmentation: Breast Tumor Identification
Semantic Segmentation and Object Detection Towards Instance Segmentation: Breast Tumor Identification
Mohamed Mejri
Aymen Mejri
Oumayma Mejri
C. Fekih
30
0
0
06 Aug 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
451
15,652
0
02 Nov 2015
1