ΈρευναΙατρική απεικόνιση & υπολογιστική όραση
Ανάλυση Εικόνων Μικροσκοπίου
Αυτόματη ανίχνευση, ποσοτικοποίηση και ερμηνεύσιμη ταξινόμηση δομών σε εικόνες μικροσκοπίου και ιστοπαθολογίας.

Οι εικόνες μικροσκοπίου και ιστοπαθολογίας περιέχουν χιλιάδες κύτταρα και ιστικές δομές, των οποίων η οπτική αξιολόγηση είναι χρονοβόρα και υποκειμενική. Αναπτύσσουμε εργαλεία που ανιχνεύουν, ποσοτικοποιούν και ταξινομούν αυτόματα αυτές τις δομές.
Οι εφαρμογές περιλαμβάνουν την ποσοτικοποίηση ινωτικού ιστού, τον χαρακτηρισμό καρκίνου του μαστού και νεφρικών βιοψιών, και την ταξινόμηση ιστοπαθολογικών εικόνων με συνδυασμούς συνελικτικών νευρωνικών δικτύων, μαζί με μεθόδους που καθιστούν τις αποφάσεις τους ερμηνεύσιμες για τους παθολογοανατόμους.
- Ποσοτικοποίηση ίνωσης και ιστών
- Ταξινόμηση ιστοπαθολογίας καρκίνου
- Ερμηνεύσιμη βαθιά μάθηση για την παθολογία
Σχετικές δημοσιεύσεις
Επιλεγμένες εργασίες του εργαστηρίου σε αυτό το πεδίο.
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Ensembling to Leverage the Interpretability of Medical Image Analysis Systems
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Explainable computer vision analysis for embryo selection on blastocyst images
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Ensembling EfficientNets for the Classification and Interpretation of Histopathology Images
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Creating Visual Vocabularies for The Retrieval And Classification of Histopathology Images
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Content Based Image Retrieval in Digital Pathology Using Speeded Up Robust Features
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A Novel Image Analysis Methodology for the Evaluation of Angiogenesis in Matrigel Assays and Screening of Angiogenesis-Modulating Compounds
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Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering
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Neural network-based diagnostic and prognostic estimations in breast cancer microscopic instances
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