Computational Pathology

Uses

How it works

Benefits

Evidence quality

Highlighted claims

• Both tissue-level and single-cell feature extraction combined with machine learning can generate clinically actionable diagnostic and prognostic information. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Combining tissue-level and single-cell feature extraction with machine learning can generate clinically actionable diagnostic and prognostic information. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Tissue-level and single-cell feature extraction combined with machine learning can generate clinically actionable diagnostic and prognostic information. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Prior computational pathology approaches established that tissue-level and single-cell feature extraction combined with machine learning can generate clinically actionable diagnostic and prognostic information. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Prior AI approaches combining tissue-level and single-cell feature extraction with machine learning can generate clinically actionable diagnostic and prognostic information. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Prior computational pathology approaches established that tissue-level and single-cell feature extraction combined with machine learning can generate clinically actionable information. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Deep learning algorithms have achieved high accuracy in prostate cancer pathology classification. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Combined tissue-level and single-cell feature extraction with machine learning can generate clinically actionable diagnostic and prognostic information. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Handcrafted tissue-level features combined with machine learning have been used for prognostic applications in lung cancer. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Deep learning diagnostic algorithms achieve high accuracy in prostate cancer pathology classification. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems