Artificial intelligence-based mitosis detection in breast cancer histopathology images using faster R-CNN and deep CNNs
Breast cancer is the leading cause of mortality in women. Early diagnosis of breast cancer
can reduce the mortality rate. In the diagnosis, the mitotic cell count is an important …
can reduce the mortality rate. In the diagnosis, the mitotic cell count is an important …
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
Retinal vessels are considered important biomarkers for the detection of retinal diseases,
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
like diabetic retinopathy (caused by diabetes) and hypertensive retinopathy (caused by …
A novel deep learning-based mitosis recognition approach and dataset for uterine leiomyosarcoma histopathology
Simple Summary In this paper, we present an artificial Intelligence (AI) based automatic
detection of mitoses in Uterine Leiomyosarcoma. Mitotic count is one of the important …
detection of mitoses in Uterine Leiomyosarcoma. Mitotic count is one of the important …
[HTML][HTML] Artificial intelligence-based classification of pollen grains using attention-guided pollen features aggregation network
T Mahmood, J Choi, KR Park - Journal of King Saud University-Computer …, 2023 - Elsevier
Visual classification of pollen grains is crucial for various agricultural applications,
particularly for the protection, monitoring, and tracking of flora to preserve the biome and …
particularly for the protection, monitoring, and tracking of flora to preserve the biome and …
Proliferation score prediction using novel SMHC feature using adaptive XGBoost model
R Krithiga, P Geetha - Multimedia Tools and Applications, 2024 - Springer
Mitosis cell counting from histopathology image is one of the important process as a part of
proliferative activity for cancer grading. It provides a level of progression and estimate the …
proliferative activity for cancer grading. It provides a level of progression and estimate the …
The effect of feature selection on gray level co-occurrence matrix (GLCM) for the four breast cancer classifications
M Mawarni, F Utaminingrum… - Journal of Biomimetics …, 2022 - Trans Tech Publ
Breast cancer is ranked first as the most common cancer case affecting women in the world.
Early detection of breast cancer can increase the chances of survival in patients. The role of …
Early detection of breast cancer can increase the chances of survival in patients. The role of …
A Systematic Approach to Identify the Breast Cancer Grades in Histopathological Images Using Deep Neural Networks
SHS Silva, T Jinesena - 2021 - repository.kln.ac.lk
Breast cancer can be recognized as one of the most well-known and life-threatening
cancers impacting women and this has been identified as the second most common cancer …
cancers impacting women and this has been identified as the second most common cancer …