Ai Cancer Biology › Machine Learning Cancer Biomarker Discovery Pipeline
Deep Learning Feature Extraction from Histopathology Images
This research investigates convolutional neural networks and transformer architectures for automated extraction of morphological and architectural features from whole-slide pathology images. The work advances interpretable biomarker discovery by identifying novel tissue-level patterns predictive of treatment response and patient prognosis.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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