12 citations · 36 across the 8 of their papers we have counts for
3 papers · 1 filter
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
Heyi Li, Dongdong Chen, William H. Nailon +2
Computer-aided breast cancer diagnosis in mammography is a challenging problem, stemming from mammographical data scarcity and data entanglement. In particular, data scarcity is at…
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography
Heyi Li, Dongdong Chen, William H. Nailon +2
Deep convolutional neural networks (CNNs) have emerged as a new paradigm for Mammogram diagnosis. Contemporary CNN-based computer-aided-diagnosis (CAD) for breast cancer directly e…
Fast and automated biomarker detection in breath samples with machine learning
Angelika Skarysz, Dahlia Salman, Michael Eddleston +7
Volatile organic compounds (VOCs) in human breath can reveal a large spectrum of health conditions and can be used for fast, accurate and non-invasive diagnostics. Gas chromatograp…