Artificial hummingbird algorithm with transfer-learning-based mitotic nuclei classification on histopathologic breast cancer images
Recently, artificial intelligence (AI) is an extremely revolutionized domain of medical image
processing. Specifically, image segmentation is a task that generally aids in such an …
processing. Specifically, image segmentation is a task that generally aids in such an …
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier
Mitotic nuclei estimation in breast tumour samples has a prognostic significance in analysing
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
A heteromorphous deep CNN framework for medical image segmentation using local binary pattern
S Iqbal, AN Qureshi - IEEE Access, 2022 - ieeexplore.ieee.org
Estimating mitotic nuclei in breast cancer samples can aid in determining the tumor's
aggressiveness and grading system. Because of their strong resemblance to non-mitotic …
aggressiveness and grading system. Because of their strong resemblance to non-mitotic …
Enhanced Pelican Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Classification on Breast Histopathology Images
Breast cancer (BC) is a prevalent disease worldwide, and accurate diagnoses are vital for
successful treatment. Histopathological (HI) inspection, particularly the detection of mitotic …
successful treatment. Histopathological (HI) inspection, particularly the detection of mitotic …
Novel architecture with selected feature vector for effective classification of mitotic and non-mitotic cells in breast cancer histology images
The paper focuses on the detection of mitosis in breast cancer. Detection methods in vogue
rely heavily on visual inspection and assessment of histology images by trained …
rely heavily on visual inspection and assessment of histology images by trained …
A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based
detection of mitotic nuclei is a significant overhead and necessitates automation. This work …
detection of mitotic nuclei is a significant overhead and necessitates automation. This work …
Mitotic Nuclei Segmentation and Classification Using Chaotic Butterfly Optimization Algorithm with Deep Learning on Histopathology Images
R AlGhamdi - Biomimetics, 2023 - mdpi.com
Histopathological grading of the tumors provides insights about the patient's disease
conditions, and it also helps in customizing the treatment plans. Mitotic nuclei classification …
conditions, and it also helps in customizing the treatment plans. Mitotic nuclei classification …
Segmentation Based Classification for Mitotic Cells Detection on Breast Histopathological Images
Breast cancer grading is the standard clinical practice for the prognosis and diagnosis of
breast cancer development. The Nottingham Histological Grading (NHG) system is widely …
breast cancer development. The Nottingham Histological Grading (NHG) system is widely …
Deep learning-based mitosis detection using genetic optimal feature set selection
B Lakshmanan, S Anand - International Journal of Bio …, 2022 - inderscienceonline.com
Mitosis detection in breast cancer is considered to be a vital factor in cancer progression.
The significance of identifying mitotic count will be more helpful to estimate the …
The significance of identifying mitotic count will be more helpful to estimate the …
Efficient deep learning model for mitosis detection using breast histopathology images
Mitosis detection is one of the critical factors of cancer prognosis, carrying significant
diagnostic information required for breast cancer grading. It provides vital clues to estimate …
diagnostic information required for breast cancer grading. It provides vital clues to estimate …