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BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer
  Diagnosis in Breast Ultrasound Images

BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images

5 October 2021
Boyu Zhang
Aleksandar Vakanski
Min Xian
ArXivPDFHTML

Papers citing "BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images"

3 / 3 papers shown
Title
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection
  in Breast Ultrasound
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound
Arianna Bunnell
Yannik Glaser
Dustin Valdez
T. Wolfgruber
Aleen Altamirano
Carol Zamora González
Brenda Y. Hernandez
Peter Sadowski
John A. Shepherd
31
0
0
29 Jun 2024
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework
  for Breast Cancer Detection and Segmentation
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation
Mohammad Karimzadeh
Aleksandar Vakanski
Min Xian
Boyu Zhang
13
5
0
27 Aug 2023
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
27
50
0
17 May 2022
1