Medical Imaging | Oncology | Radiology Deep orthogonal multi-wavelength fusion for tomogram-free diagnosis in diffuse optical imaging. June 15, 2024
Medical Imaging | Oncology | Radiology A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. May 29, 2024
Oncology | Radiology WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound. March 11, 2024
Oncology | Radiology Integrating hybrid transfer learning with attention-enhanced deep learning models to improve breast cancer diagnosis. March 4, 2024
Breast Cancer Diagnosis | Medical Imaging | Radiology Digital mammography dataset for breast cancer diagnosis research (DMID) with breast mass segmentation analysis. February 20, 2024
Oncology | Pathology | Radiology | Surgery Sonography-based multimodal information platform for identifying the surgical pathology of ductal carcinoma in situ. January 24, 2024
Pathology | Radiology Evaluating Recalibrating AI Models for Breast Cancer Diagnosis in a New Context: Insights from Transfer Learning, Image Enhancement and High-Quality Training Data Integration. January 23, 2024
Medical Imaging | Oncology | Radiology Empowering breast cancer diagnosis and radiology practice: advances in artificial intelligence for contrast-enhanced mammography. January 22, 2024
Oncology | Radiology Comparative analysis of deep learning methods for lesion detection on full screening mammography. December 12, 2023
Computer Science | Pathology A Comprehensive Review of Computer-Aided Models for Breast Cancer Diagnosis Using Histopathology Images. November 25, 2023