Weakly and semi supervised detection in medical imaging via deep dual branch net

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

(2019) Li Shen et al.   Scientific Reports

Detecting and classifying lesions in mammograms with Deep Learning

(2018) Dezső Ribli et al.   Scientific Reports

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

(2018) Seung Yeon Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning

(2017) Ramazan Gokberk Cinbis 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

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition

(2016) Zhennan Yan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Assessment and Management of Challenging BI-RADS Category 3 Mammographic Lesions

(2016) Aya Y. Michaels et al.   RADIOGRAPHICS

Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

(2015) Fernando Soares Sérvulo de Oliveira et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automatic detection of abnormal mammograms in mammographic images

(2015) Chun-Chu Jen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Shape-based Automatic Detection of Pectoral Muscle Boundary in Mammograms

(2015) Chunxiao Chen et al.   Journal of Medical and Biological Engineering

INbreast

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