[HTML][HTML] Breast cancer detection and classification empowered with transfer learning
Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer
that starts in the breast and spreads to other parts of the body. One of the most common …
that starts in the breast and spreads to other parts of the body. One of the most common …
[HTML][HTML] Evaluation of deep learning models for detecting breast cancer using histopathological mammograms Images
S Mohapatra, S Muduly, S Mohanty… - Sustainable Operations …, 2022 - Elsevier
Breast cancer detection based on the deep learning approach has gained much interest
among other conventional-based CAD systems as the conventional based CAD system's …
among other conventional-based CAD systems as the conventional based CAD system's …
[HTML][HTML] Development of an artificial intelligence-based breast cancer detection model by combining mammograms and medical health records
Background: Artificial intelligence (AI)-based computational models that analyze breast
cancer have been developed for decades. The present study was implemented to …
cancer have been developed for decades. The present study was implemented to …
Ensemble Learning with Symbiotic Organism Search Optimization Algorithm for Breast Cancer Classification & Risk Identification of Other Organs on Histopathological …
Breast cancer (BC) is closely linked with the maximum mortality rate for cancer detection
across the globe and has become a predominant public health issue. Earlier detection might …
across the globe and has become a predominant public health issue. Earlier detection might …
[HTML][HTML] Untangling classification methods for melanoma skin cancer
A Kumar, A Vatsa - Frontiers in big Data, 2022 - frontiersin.org
Skin cancer is the most common cancer in the USA, and it is a leading cause of death
worldwide. Every year, more than five million patients are newly diagnosed in the USA. The …
worldwide. Every year, more than five million patients are newly diagnosed in the USA. The …
Explainable AI in Healthcare Application
Given the inherent risks in medical decision-making, medical professionals carefully
evaluate a patient's symptoms before arriving at a plausible diagnosis. For AI to be widely …
evaluate a patient's symptoms before arriving at a plausible diagnosis. For AI to be widely …
[PDF][PDF] An integrated approach on verification of signatures using multiple classifiers (SVM and Decision Tree): A multi-classification approach
A signature is a handwritten representation that is commonly used to validate and recognize
the writer individually. An automated verification system is mandatory to verify the identity …
the writer individually. An automated verification system is mandatory to verify the identity …
Breast Mass Detection and Classification Using Machine Learning Approaches on Two-Dimensional Mammogram: A Review
N Shankari, V Kudva, RB Hegde - Critical Reviews™ in …, 2024 - dl.begellhouse.com
Breast cancer is a leading cause of mortality among women, both in India and globally. The
prevalence of breast masses is notably common in women aged 20 to 60. These breast …
prevalence of breast masses is notably common in women aged 20 to 60. These breast …
An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-Net
Breast cancer mortality can be prevented by only early, accurate mammography screening
and diagnosis. Although CNN-based computer-aided diagnosis (CAD) systems for breast …
and diagnosis. Although CNN-based computer-aided diagnosis (CAD) systems for breast …
Early prediction of breast cancer based on the classification of HER‐2 and ER biomarkers using deep neural network
D Saranyaraj, M Manikandan - Expert Systems, 2023 - Wiley Online Library
Background Owing to the highly coarse chromatin, multi‐dimensionality of the histo image,
irregularity of shape and size, texture and appearance, nuclei extraction is challenging. To …
irregularity of shape and size, texture and appearance, nuclei extraction is challenging. To …