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SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Research article (2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024) · cited 13× · AI/ML
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SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Summary

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology is a scholarly article[1].

Key Facts

  • SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology's instance of is recorded as scholarly article[2].

Related Entities

Srijan Das

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. Retrieved May 24, 2026, from https://4ort.xyz/entity/si-mil-taming-deep-mil-for-self-interpretability-in-gigapixel-histopathology
MLA “SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/si-mil-taming-deep-mil-for-self-interpretability-in-gigapixel-histopathology.
BibTeX @misc{4ortxyz_si-mil-taming-deep-mil-for-self-interpretability-in-gigapixel-histopathology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology}}, year = {2026}, url = {https://4ort.xyz/entity/si-mil-taming-deep-mil-for-self-interpretability-in-gigapixel-histopathology}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology — https://4ort.xyz/entity/si-mil-taming-deep-mil-for-self-interpretability-in-gigapixel-histopathology (retrieved 2026-05-24)

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