A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques
Breast cancer, the earliest documented cancer in history, stands as a foremost cause of
mortality, accounting for 684,996 deaths globally in 2020 (15.5% of all female cancer cases) …
mortality, accounting for 684,996 deaths globally in 2020 (15.5% of all female cancer cases) …
Nuclei segmentation using attention aware and adversarial networks
E Goceri - Neurocomputing, 2024 - Elsevier
Accurate segmentation of nuclei plays a critical role in pathology since assessments and
diagnoses are mainly based on the recognition, measurement, and counting of nuclei …
diagnoses are mainly based on the recognition, measurement, and counting of nuclei …
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 …
Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model
A Alshardan, N Ahmad, AB Miled, A Alshuhail… - Scientific Reports, 2024 - nature.com
Image processing and pattern recognition methods have recently been extensively
implemented in histopathological images (HIs). These computer-aided techniques are …
implemented in histopathological images (HIs). These computer-aided techniques are …
[HTML][HTML] A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
Abstract Background/Objectives: Nuclear pleomorphism, a crucial determinant of breast
cancer grading under the Nottingham Histopathology Grading (NHG) system, remains …
cancer grading under the Nottingham Histopathology Grading (NHG) system, remains …
Performance Analysis of Color Normalization Methods in Histopathology Images
WC Yee, TX Jian, KS Ab Rahman… - … on Automatic Control …, 2022 - ieeexplore.ieee.org
Color normalization in histopathology is a prominent research topic in the image processing
field as color in histopathology images plays a crucial role in diagnosis. As computer-aided …
field as color in histopathology images plays a crucial role in diagnosis. As computer-aided …
Deep Learning Techniques for Breast Cancer Mitotic Cell Detection
J Li, L Qiu, Y Yang, W Zhou - 2022 19th International Computer …, 2022 - ieeexplore.ieee.org
Breast cancer is one of the highest incidence in women's cancer, The pathological diagnosis
of breast cancer can be used to evaluate the invasion of tumors and provide important …
of breast cancer can be used to evaluate the invasion of tumors and provide important …
Clustering-Based Image Registration of Tubule Candidates in Breast Histopathology Images
Tubule formation is a rudimental and vital parameter to be considered for cancer
aggressiveness detections based on histopathology image data, in accordance with the …
aggressiveness detections based on histopathology image data, in accordance with the …
Breast cancer status, grading system, etiology, and challenges in Asia: an updated review
The number of breast cancer incidences reported worldwide has increased tremendously
over the years. Scoping down to Asia, in 2020, the reported incidences of breast cancer are …
over the years. Scoping down to Asia, in 2020, the reported incidences of breast cancer are …
Textural-Based Discriminant Analysis for Tubule Measurement in Breast Histopathology Images
Tubule formation, one of the core factors determining the overall grade of breast cancer,
relies upon the experience of histopathologists on manual inspection with nuanced decision …
relies upon the experience of histopathologists on manual inspection with nuanced decision …