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Anant Madabhushi

Researcher at Case Western Reserve University

Publications -  610
Citations -  26322

Anant Madabhushi is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 66, co-authored 540 publications receiving 19273 citations. Previous affiliations of Anant Madabhushi include United States Department of Veterans Affairs & Rutgers University.

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Journal ArticleDOI

Histopathological Image Analysis: A Review

Metin N. Gurcan, +5 more
- 30 Oct 2009 - 
TL;DR: The recent state of the art CAD technology for digitized histopathology is reviewed and the development and application of novel image analysis technology for a few specific histopathological related problems being pursued in the United States and Europe are described.
Journal ArticleDOI

Applications of machine learning in drug discovery and development.

Jessica Vamathevan, +11 more
- 01 Jun 2019 - 
TL;DR: The most useful techniques and how machine learning can promote data-driven decision making in drug discovery and development are discussed and major hurdles in the field are highlighted.
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Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.

Andrew Janowczyk, +1 more
- 01 Jan 2016 - 
TL;DR: This paper investigates concepts through seven unique DP tasks as use cases to elucidate techniques needed to produce comparable, and in many cases, superior to results from the state-of-the-art hand-crafted feature-based classification approaches.
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Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

Jun Xu, +6 more
- 01 Jan 2016 - 
TL;DR: A Stacked Sparse Autoencoder, an instance of a deep learning strategy, is presented for efficient nuclei detection on high-resolution histopathological images of breast cancer and out-performed nine other state of the art nuclear detection strategies.
Journal ArticleDOI

Image analysis and machine learning in digital pathology: Challenges and opportunities

Anant Madabhushi, +1 more
- 01 Oct 2016 - 
TL;DR: This review discusses developments in computational image analysis tools for predictive modeling of digital pathology images from a detection, segmentation, feature extraction, and tissue classification perspective, and reflects on future opportunities for the quantitation of histopathology.