Pathology Pseudo-class part prototype networks for interpretable breast cancer classification. May 6, 2024
Oncology | Radiology Infrared thermal images using PCSAN-Net-DBOA: An approach of breast cancer classification. March 19, 2024
Oncology | Radiology A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images. March 8, 2024
Oncology | Radiology HBMD-Net: Feature Fusion Based Breast Cancer Classification with Class Imbalance Resolution. February 27, 2024
Oncology | Pathology SegEIR-Net: A Robust Histopathology Image Analysis Framework for Accurate Breast Cancer Classification. February 12, 2024
Oncology | Radiology Breast cancer classification based on convolutional neural network and image fusion approaches using ultrasound images. December 11, 2023
Radiology MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning. April 4, 2023
Digital Pathology | Pathology Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy. February 27, 2023
Pathology | Radiology Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review. February 25, 2023
Biomedical imaging | Oncology | Pathology Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data. February 9, 2023
Pathology | Radiology A Multi-Stage Approach to Breast Cancer Classification Using Histopathology Images. January 8, 2023
Oncology | Radiology Contextual Features and Information Bottleneck-Based Multi-Input Network for Breast Cancer Classification from Contrast-Enhanced Spectral Mammography. December 23, 2022