Interactive thyroid whole slide image diagnostic system using deep representation
Sign Up to like & getrecommendations! Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2020.105630
Abstract: BACKGROUND AND OBJECTIVES The vast size of the histopathology whole slide image poses formidable challenges to its automatic diagnosis. With the goal of computer-aided diagnosis and the insights that suspicious regions are generally easy to… read more here.
Keywords: thyroid whole; diagnostic system; system; slide image ... See more keywords
Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
Sign Up to like & getrecommendations! Published in 2020 at "Adipocyte"
DOI: 10.1080/21623945.2020.1823139
Abstract: ABSTRACT The distinction between biological processes of adipose tissue expansion is crucial to understanding metabolic derangements, but a robust method for quantifying adipocyte size has yet to be standardized. Here, we compared three methods for… read more here.
Keywords: slide image; slide; size; image analysis ... See more keywords
A Graph-Transformer for Whole Slide Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2022.3176598
Abstract: Deep learning is a powerful tool for whole slide image (WSI) analysis. Typically, when performing supervised deep learning, a WSI is divided into small patches, trained and the outcomes are aggregated to estimate disease grade.… read more here.
Keywords: classification; learning; whole slide; slide image ... See more keywords
Bayesian Collaborative Learning for Whole-Slide Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2023.3241204
Abstract: Whole-slide image (WSI) classification is fundamental to computational pathology, which is challenging in extra-high resolution, expensive manual annotation, data heterogeneity, etc. Multiple instance learning (MIL) provides a promising way towards WSI classification, which nevertheless suffers… read more here.
Keywords: classification; collaborative learning; bayesian collaborative; whole slide ... See more keywords
Weakly supervised learning and interpretability for endometrial whole slide image diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Experimental Biology and Medicine"
DOI: 10.1177/15353702221126560
Abstract: Fully supervised learning for whole slide image–based diagnostic tasks in histopathology is problematic due to the requirement for costly and time-consuming manual annotation by experts. Weakly supervised learning that utilizes only slide-level labels during training… read more here.
Keywords: interpretability; weakly supervised; supervised learning; whole slide ... See more keywords
Computationally efficient adaptive decompression for whole slide image processing.
Sign Up to like & getrecommendations! Published in 2022 at "Biomedical optics express"
DOI: 10.1364/boe.477515
Abstract: Whole slide image (WSI) analysis is increasingly being adopted as an important tool in modern pathology. Recent deep learning-based methods have achieved state-of-the-art performance on WSI analysis tasks such as WSI classification, segmentation, and retrieval.… read more here.
Keywords: whole slide; analysis; decompression; slide image ... See more keywords