4.6 Article

Deep learning on digital mammography for expert-level diagnosis accuracy in breast cancer detection

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Fine-Grained Urban Flow Inference

Kun Ouyang et al.

Summary: This paper presents a method for inferring fine-grained urban flows from coarse-grained data, aiming to bridge the gap between storage efficiency and data utility. The proposed method includes an inference network and a fusion subnet, which can effectively generate fine-grained flow distributions. Additionally, the authors propose a cascading model for progressive inference of larger-scale fine-grained urban flows.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

Article Computer Science, Artificial Intelligence

Deep Multi-View Enhancement Hashing for Image Retrieval

Chenggang Yan et al.

Summary: This paper proposes a novel multi-view hashing learning method, integrating neural networks to enhance retrieval performance significantly. By effectively evaluating view stability and fusing multiple data, relationships between views are explored and advantages are preserved.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Inconsistent Performance of Deep Learning Models on Mammogram Classification

Xiaoqin Wang et al.

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2020)

Article Computer Science, Information Systems

3D Room Layout Estimation From a Single RGB Image

Chenggang Yan et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2020)

Article Oncology

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

Alejandro Rodriguez-Ruiz et al.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System

Alejandro Rodriguez-Ruiz et al.

RADIOLOGY (2019)

Review Health Care Sciences & Services

Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review

Syed Jamal Safdar Gardezi et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2019)

Article Multidisciplinary Sciences

Occurrence of the potent mutagens 2-nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles

Aldenor G. Santos et al.

SCIENTIFIC REPORTS (2019)

Proceedings Paper Computer Science, Information Systems

UrbanFM: Inferring Fine-Grained Urban Flows

Yuxuan Liang et al.

KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)

Article Multidisciplinary Sciences

Detecting and classifying lesions in mammograms with Deep Learning

Dezso Ribli et al.

SCIENTIFIC REPORTS (2018)

Article Oncology

Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening

Sarah S. Aboutalib et al.

CLINICAL CANCER RESEARCH (2018)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep Learning in Mammography Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer

Anton S. Becker et al.

INVESTIGATIVE RADIOLOGY (2017)

Article Computer Science, Artificial Intelligence

Large scale deep learning for computer aided detection of mammographic lesions

Thijs Kooi et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Radiology, Nuclear Medicine & Medical Imaging

National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium

Constance D. Lehman et al.

RADIOLOGY (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Oncology

Breast Cancer Statistics, 2013

Carol DeSantis et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2014)

Article Radiology, Nuclear Medicine & Medical Imaging

INbreast: Toward a Full-field Digital Mammographic Database

Ines C. Moreira et al.

ACADEMIC RADIOLOGY (2012)

Editorial Material Radiology, Nuclear Medicine & Medical Imaging

BI-RADS Data Should Not Be Used to Estimate ROC Curves

Yulei Jiang et al.

RADIOLOGY (2010)

Article Oncology

Cancer statistics, 2008

Ahmedin Jemal et al.

CA-A CANCER JOURNAL FOR CLINICIANS (2008)

Article Radiology, Nuclear Medicine & Medical Imaging

Performance parameters for screening and diagnostic mammography: Specialist and general radiologists

EA Sickles et al.

RADIOLOGY (2002)