mlsanityData to 7 Oct 2026

An XAI Approach to Deep Learning Models in the Detection of DCIS

arXiv 2106.14186 ↗First posted 27 Jun 2021eess.IV cs.CV cs.LGcited by 1

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Abstract (arXiv)

The results showed that XAI could indeed be used as a proof of concept to begin discussions on the implementation of assistive AI systems within the clinical community.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 19 references that are in the map. First posted on arXiv 27 Jun 2021.

Builds on

5 of 19 references.

References · 5

  1. 2017Methods for Interpreting and Understanding Deep Neural Networkscited by 342
  2. 2016Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layerscited by 197
  3. 2017End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Designcited by 87
  4. 2018iNNvestigate neural networks!cited by 58
  5. 2017Detecting Cancer Metastases on Gigapixel Pathology Imagescited by 51

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Citing papers per year: 2024: 1.

1 paper.