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

A Madabhushi, G Lee - Medical image analysis, 2016 - Elsevier
With the rise in whole slide scanner technology, large numbers of tissue slides are being
scanned and represented and archived digitally. While digital pathology has substantial …

Gland segmentation in colon histology images: The glas challenge contest

K Sirinukunwattana, JPW Pluim, H Chen, X Qi… - Medical image …, 2017 - Elsevier
Colorectal adenocarcinoma originating in intestinal glandular structures is the most common
form of colon cancer. In clinical practice, the morphology of intestinal glands, including …

Artificial intelligence in diagnostic pathology

S Shafi, AV Parwani - Diagnostic pathology, 2023 - Springer
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing
additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic …

Histopathological image analysis: A review

MN Gurcan, LE Boucheron, A Can… - IEEE reviews in …, 2009 - ieeexplore.ieee.org
Over the past decade, dramatic increases in computational power and improvement in
image analysis algorithms have allowed the development of powerful computer-assisted …

Digital imaging in pathology: whole-slide imaging and beyond

F Ghaznavi, A Evans, A Madabhushi… - Annual Review of …, 2013 - annualreviews.org
Digital imaging in pathology has undergone an exponential period of growth and expansion
catalyzed by changes in imaging hardware and gains in computational processing. Today …

Towards label-efficient automatic diagnosis and analysis: a comprehensive survey of advanced deep learning-based weakly-supervised, semi-supervised and self …

L Qu, S Liu, X Liu, M Wang, Z Song - Physics in Medicine & …, 2022 - iopscience.iop.org
Histopathological images contain abundant phenotypic information and pathological
patterns, which are the gold standards for disease diagnosis and essential for the prediction …

Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks

L Guo, D Rivero, A Pazos - Journal of neuroscience methods, 2010 - Elsevier
Epilepsy is the most prevalent neurological disorder in humans after stroke. Recurrent
seizure is the main characteristic of the epilepsy. Electroencephalogram (EEG) is the …

Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles

J Barker, A Hoogi, A Depeursinge, DL Rubin - Medical image analysis, 2016 - Elsevier
Computerized analysis of digital pathology images offers the potential of improving clinical
care (eg automated diagnosis) and catalyzing research (eg discovering disease subtypes) …

Pathology imaging informatics for quantitative analysis of whole-slide images

S Kothari, JH Phan, TH Stokes… - Journal of the American …, 2013 - academic.oup.com
Objectives With the objective of bringing clinical decision support systems to reality, this
article reviews histopathological whole-slide imaging informatics methods, associated …

Multifeature prostate cancer diagnosis and Gleason grading of histological images

A Tabesh, M Teverovskiy, HY Pang… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
We present a study of image features for cancer diagnosis and Gleason grading of the
histological images of prostate. In diagnosis, the tissue image is classified into the tumor and …