Automated analysis of blood smear images for leukemia detection: a comprehensive review
Leukemia, the malignancy of blood-forming tissues, becomes fatal if not detected in the early
stages. It is detected through a blood smear test that involves the morphological analysis of …
stages. It is detected through a blood smear test that involves the morphological analysis of …
Automated screening system for acute myelogenous leukemia detection in blood microscopic images
S Agaian, M Madhukar… - IEEE Systems …, 2014 - ieeexplore.ieee.org
Acute myelogenous leukemia (AML) is a subtype of acute leukemia, which is prevalent
among adults. The average age of a person with AML is 65 years. The need for automation …
among adults. The average age of a person with AML is 65 years. The need for automation …
Classification of acute myelogenous leukemia in blood microscopic images using supervised classifier
D Goutam, S Sailaja - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
Blood cancer is a form of cancer which attacks the blood, bone marrow, or lymphatic system.
It is diagnosed with a blood test in which specific types of blood cells are counted by …
It is diagnosed with a blood test in which specific types of blood cells are counted by …
The quantitative criteria based on the fractal dimensions, entropy, and lacunarity for the spatial distribution of cancer cell nuclei enable identification of low or high …
P Waliszewski - Frontiers in physiology, 2016 - frontiersin.org
Background: Tumor grading, PSA concentration, and stage determine a risk of prostate
cancer patients with accuracy of about 70%. An approach based on the fractal geometrical …
cancer patients with accuracy of about 70%. An approach based on the fractal geometrical …
Quaternion neural networks applied to prostate cancer gleason grading
A Greenblatt, C Mosquera-Lopez… - 2013 IEEE international …, 2013 - ieeexplore.ieee.org
Diagnosis of prostate cancer currently involves visual examination of samples for the
assignment of Gleason grades using a microscope, a time-consuming and subjective …
assignment of Gleason grades using a microscope, a time-consuming and subjective …
Automated mitosis detection in histopathology based on non-gaussian modeling of complex wavelet coefficients
To diagnose breast cancer, the number of mitotic cells present in histology sections is an
important indicator for examining and grading biopsy specimen. This study aims at …
important indicator for examining and grading biopsy specimen. This study aims at …
[HTML][HTML] Detecting and segmenting cell nuclei in two-dimensional microscopy images
Introduction: Cell nuclei are important indicators of cellular processes and diseases.
Segmentation is an essential stage in systems for quantitative analysis of nuclei extracted …
Segmentation is an essential stage in systems for quantitative analysis of nuclei extracted …
Analysis–synthesis learning with shared features: Algorithms for histology image classification
Objective: The diversity of tissue structure in histopathological images makes feature
extraction for classification a challenging task. Dictionary learning within a sparse …
extraction for classification a challenging task. Dictionary learning within a sparse …
[HTML][HTML] An Analytical Study on the Utility of RGB and Multispectral Imagery with Band Selection for Automated Tumor Grading
S Kunhoth, S Al-Maadeed - Diagnostics, 2024 - mdpi.com
The implementation of tumor grading tasks with image processing and machine learning
techniques has progressed immensely over the past several years. Multispectral imaging …
techniques has progressed immensely over the past several years. Multispectral imaging …
A hierarchical classifier for multiclass prostate histopathology image gleason grading
Automated classification of prostate histopathology images includes the identification of
multiple classes, such as benign and cancerous (grades 3 & 4). To address the multiclass …
multiple classes, such as benign and cancerous (grades 3 & 4). To address the multiclass …