Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach

Developing breast lesion detection algorithms for Digital Breast Tomosynthesis: Leveraging false positive findings

(2022) Md Belayat Hossain et al.   MEDICAL PHYSICS

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

(2021) William Lotter et al.   NATURE MEDICINE

Weighted boxes fusion: Ensembling boxes from different object detection models

(2021) Roman Solovyev et al.   IMAGE AND VISION COMPUTING

DBT Masses Automatic Segmentation Using U-Net Neural Networks

(2020) Xiaobo Lai et al.   Computational and Mathematical Methods in Medicine

Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network

(2019) Ming Fan et al.   METHODS

Comparative Accuracy of Mammography and Ultrasound in Women with Breast Symptoms According to Age and Breast Density

(2018) Emine Devolli-Disha et al.   Bosnian Journal of Basic Medical Sciences

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

(2016) Ravi K. Samala et al.   MEDICAL PHYSICS

Clinical Performance Metrics of 3D Digital Breast Tomosynthesis Compared With 2D Digital Mammography for Breast Cancer Screening in Community Practice

(2014) Julianne S. Greenberg et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

INbreast

(2011) Inês C. Moreira et al.   ACADEMIC RADIOLOGY

Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications

(2010) Mark A. Helvie   RADIOLOGIC CLINICS OF NORTH AMERICA

Object Detection with Discriminatively Trained Part-Based Models

(2009) P F Felzenszwalb et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated breast cancer detection and classification using ultrasound images: A survey

(2009) H.D. Cheng et al.   PATTERN RECOGNITION

Computer-aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches

(2008) Heang-Ping Chan et al.   MEDICAL PHYSICS