Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading | ScienceToStartup | ScienceToStartup

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References (20)

[1]

Do Multiple Instance Learning Models Transfer?

2025Daniel Shao, Richard J. Chen et al.

[2]

Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring

2025Meili Ren, Mengxing Huang et al.

[3]

Self-supervision enhances instance-based multiple instance learning methods in digital pathology: a benchmark study

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"This paper proposes methods to improve prostate cancer grading by addressing the difficulty of Whole Slide Images in histopathology."

Medical AI•Score: 2•View PDF ↗

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Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading

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References (20)

Founder's Pitch

"This paper proposes methods to improve prostate cancer grading by addressing the difficulty of Whole Slide Images in histopathology."

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Leveraging whole slide difficulty in Multiple Instance Learning to improve prostate cancer grading

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References (20)

Founder's Pitch

"This paper proposes methods to improve prostate cancer grading by addressing the difficulty of Whole Slide Images in histopathology."

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