AIMC Topic: Pathology

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Deep-ReAP: Deep Representations And Partial label learning for Multi-pathology Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Automated detection of pathology in images with multiple pathologies is one of the most challenging problems in medical diagnostics. The primary hurdles for automated systems include data imbalance across pathology categories and structural variation...
Humans Deep Learning Pathology
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Introduction to Artificial Intelligence and Machine Learning for Pathology.

Archives of pathology & laboratory medicine Oct 1, 2021
CONTEXT.—: Recent developments in machine learning have stimulated intense interest in software that may augment or replace human experts. Machine learning may impact pathology practice by offering new capabilities in analysis, interpretation, and ou...
Female Male Neural Networks, Computer Machine Learning Algorithms Artificial Intelligence Pathologists Humans Pathology
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Perspectives in pathomics in head and neck cancer.

Current opinion in oncology May 1, 2021
PURPOSE OF REVIEW: Pathology is the cornerstone of cancer care. Pathomics, which represents the use of artificial intelligence in digital pathology, is an emerging and promising field that will revolutionize medical and surgical pathology in the comi...
Humans Head and Neck Neoplasms Pathology Biomarkers, Tumor Artificial Intelligence Image Processing, Computer-Assisted Tumor Microenvironment
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Pathomics in urology.

Current opinion in urology Nov 1, 2020
PURPOSE OF REVIEW: Pathomics, the fusion of digitalized pathology and artificial intelligence, is currently changing the landscape of medical pathology and biologic disease classification. In this review, we give an overview of Pathomics and summariz...
Urogenital Neoplasms Carcinoma, Renal Cell Pathology Prostatic Neoplasms Neoplasm Grading Kidney Neoplasms Urology Testicular Neoplasms Urologic Neoplasms Diagnosis, Computer-Assisted Deep Learning Humans Artificial Intelligence Reproducibility of Results Female Male
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Artificial Intelligence in Pathology: A Simple and Practical Guide.

Advances in anatomic pathology Nov 1, 2020
Artificial intelligence (AI) is having an increasing impact on the field of pathology, as computation techniques allow computers to perform tasks previously performed by people. Here, we offer a simple and practical guide to AI methods used in pathol...
Humans High-Throughput Nucleotide Sequencing Pathology Artificial Intelligence Machine Learning
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Implementing Deep Learning Algorithms in Anatomic Pathology Using Open-source Deep Learning Libraries.

Advances in anatomic pathology Jul 1, 2020
The application of artificial intelligence technologies to anatomic pathology has the potential to transform the practice of pathology, but, despite this, many pathologists are unfamiliar with how these models are created, trained, and evaluated. In ...
Humans Deep Learning Pathology
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Explainable AI (xAI) for Anatomic Pathology.

Advances in anatomic pathology Jul 1, 2020
Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA approval of WSI systems as class II medical devices. In response to new market forces and recent technology advances outside of pathology, a new field of computat...
Image Processing, Computer-Assisted Humans Pathology Artificial Intelligence
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Deep representation learning for domain adaptable classification of infrared spectral imaging data.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which...
Pathology Neural Networks, Computer Microscopy Deep Learning Computational Biology Imaging, Three-Dimensional Models, Theoretical Spectrophotometry, Infrared
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Computational pathology and the understanding of disease.

The Journal of pathology Oct 1, 2019
Predictive Value of Tests Periodicals as Topic Editorial Policies Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Humans Pathology Artificial Intelligence
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[Recent Developments in a Automated Diagnosis of Pathological Images and Three-dimensional Histopathology].

Brain and nerve = Shinkei kenkyu no shinpo Jul 1, 2019
Rapid improvements in computing power are advancing machine learning technology using neural networks, revolutionizing the field of image analysis and allowing for automated diagnosis of pathological images. In addition, the recent development of tis...
Pathology Imaging, Three-Dimensional Diagnostic Techniques and Procedures Histological Techniques Machine Learning Diagnosis, Computer-Assisted
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