Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review
Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential
Digital pathology represents one of the major evolutions in modern medicine. Pathological
examinations constitute the gold standard in many medical protocols, and also play a critical …
examinations constitute the gold standard in many medical protocols, and also play a critical …
High-plex immunofluorescence imaging and traditional histology of the same tissue section for discovering image-based biomarkers
Precision medicine is critically dependent on better methods for diagnosing and staging
disease and predicting drug response. Histopathology using hematoxylin and eosin (H&E) …
disease and predicting drug response. Histopathology using hematoxylin and eosin (H&E) …
A comprehensive review for breast histopathology image analysis using classical and deep neural networks
Breast cancer is one of the most common and deadliest cancers among women. Since
histopathological images contain sufficient phenotypic information, they play an …
histopathological images contain sufficient phenotypic information, they play an …
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 …
image analysis algorithms have allowed the development of powerful computer-assisted …
Breast cancer detection, segmentation and classification on histopathology images analysis: a systematic review
R Krithiga, P Geetha - Archives of Computational Methods in Engineering, 2021 - Springer
Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …
examinations constitute the standard in medical protocols and the law, and call for specific …
Detection and classification of cancer from microscopic biopsy images using clinically significant and biologically interpretable features
R Kumar, R Srivastava… - Journal of medical …, 2015 - Wiley Online Library
A framework for automated detection and classification of cancer from microscopic biopsy
images using clinically significant and biologically interpretable features is proposed and …
images using clinically significant and biologically interpretable features is proposed and …
Recent trends in computer assisted diagnosis (CAD) system for breast cancer diagnosis using histopathological images
Breast cancer is one of the common type of cancer in females across the world. An early
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …
detection and diagnosis of breast cancer may reduce the mortality rate to a great extent. To …
Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review
Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …
breast cancer can reduce the risk of human life. Non-invasive techniques such as …
3D-GLCM CNN: A 3-dimensional gray-level co-occurrence matrix-based CNN model for polyp classification via CT colonography
Accurately classifying colorectal polyps, or differentiating malignant from benign ones, has a
significant clinical impact on early detection and identifying optimal treatment of colorectal …
significant clinical impact on early detection and identifying optimal treatment of colorectal …