4 Result(s)
within
Babak Ehteshami Bejnordi
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Chapter and Conference Paper
SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection
High-resolution images are widely adopted for high-performance object detection in videos. However, processing high-resolution inputs comes with high computation costs, and naive down-sampling of the input to ...
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Article
Open AccessApplication of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density
Breast density, a breast cancer risk factor, is a radiologic feature that reflects fibroglandular tissue content relative to breast area or volume. Its histology is incompletely characterized. Here we use deep...
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Article
Open AccessComputer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
Tumor-stroma ratio (TSR) serves as an independent prognostic factor in colorectal cancer and other solid malignancies. The recent introduction of digital pathology in routine tissue diagnostics holds opportuni...
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Chapter and Conference Paper
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Map** to Histology
Women that are diagnosed with breast cancer often undergo surgery to remove either the tumour and some of the surrounding tissue (lumpectomy) or the whole breast (mastectomy). After surgery, the excised tissue...
