Deep learning for medical image processing: Overview, challenges and the future
MI Razzak, S Naz, A Zaib - … in BioApps: Automation of decision making, 2018 - Springer
The health care sector is totally different from any other industry. It is a high priority sector
and consumers expect the highest level of care and services regardless of cost. The health …
and consumers expect the highest level of care and services regardless of cost. The health …
Digital breast tomosynthesis: state of the art
This topical review on digital breast tomosynthesis (DBT) is provided with the intent of
describing the state of the art in terms of technology, results from recent clinical studies …
describing the state of the art in terms of technology, results from recent clinical studies …
Breast cancer diagnosis in digital breast tomosynthesis: effects of training sample size on multi-stage transfer learning using deep neural nets
In this paper, we developed a deep convolutional neural network (CNN) for the classification
of malignant and benign masses in digital breast tomosynthesis (DBT) using a multi-stage …
of malignant and benign masses in digital breast tomosynthesis (DBT) using a multi-stage …
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
Purpose: Develop a computer‐aided detection (CAD) system for masses in digital breast
tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with …
tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with …
Digital breast tomosynthesis: observer performance study
D Gur, GS Abrams, DM Chough… - American Journal of …, 2009 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to compare in a retrospective observer study the
diagnostic performance of full-field digital mammography (FFDM) with that of digital breast …
diagnostic performance of full-field digital mammography (FFDM) with that of digital breast …
A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications
I Sechopoulos - Medical physics, 2013 - Wiley Online Library
Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its
clinical performance. Chief among them is the reconstruction algorithm that generates the …
clinical performance. Chief among them is the reconstruction algorithm that generates the …
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer
The role of breast image analysis in radiologists' interpretation tasks in cancer risk
assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis …
assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis …
Digital breast tomosynthesis versus digital mammography: a clinical performance study
G Gennaro, A Toledano, C Di Maggio, E Baldan… - European …, 2010 - Springer
Objective To compare the clinical performance of digital breast tomosynthesis (DBT) with
that of full-field digital mammography (FFDM) in a diagnostic population. Methods The study …
that of full-field digital mammography (FFDM) in a diagnostic population. Methods The study …
Digital mammography imaging: breast tomosynthesis and advanced applications
MA Helvie - Radiologic Clinics, 2010 - radiologic.theclinics.com
The Achilles heel of screening mammography is the detection of cancer in women with
radiographic dense breasts. Although nearly all cancers will be apparent in fatty breasts …
radiographic dense breasts. Although nearly all cancers will be apparent in fatty breasts …
Breast tomosynthesis: present considerations and future applications
JM Park, EA Franken Jr, M Garg, LL Fajardo… - Radiographics, 2007 - pubs.rsna.org
Mammography is an effective imaging tool for detecting breast cancer at an early stage and
is the only screening modality proved to reduce mortality from breast cancer. However, the …
is the only screening modality proved to reduce mortality from breast cancer. However, the …