Optimized stacking ensemble learning model for breast cancer detection and classification using machine learning
Breast cancer is the most frequently encountered medical hazard for women in their forties,
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
affecting one in every eight women. It is the greatest cause of death worldwide, and early …
Cloud‐Based Breast Cancer Prediction Empowered with Soft Computing Approaches
The develo** countries are still starving for the betterment of health sector. The disease
commonly found among the women is breast cancer, and past researches have proven …
commonly found among the women is breast cancer, and past researches have proven …
[PDF][PDF] Research Article Cloud-Based Breast Cancer Prediction Empowered with Soft Computing Approaches
Research Article Cloud-Based Breast Cancer Prediction Empowered with Soft Computing
Approaches Page 1 Research Article Cloud-Based Breast Cancer Prediction Empowered with …
Approaches Page 1 Research Article Cloud-Based Breast Cancer Prediction Empowered with …
Bi-model processing for early detection of breast tumor in CAD system
Early screening of skeptical masses in mammograms may reduce mortality rate among
women. This rate can be further reduced upon develo** the computer-aided diagnosis …
women. This rate can be further reduced upon develo** the computer-aided diagnosis …
[PDF][PDF] Breast cancer detection using artificial neural networks
N Tariq - Journal of Molecular Biomarkers and Diagnosis, 2017 - academia.edu
Breast cancer is very common and is considered as the second dangerous disease all over
the world due to its death rate. Affected can survive if the disease diagnoses before the …
the world due to its death rate. Affected can survive if the disease diagnoses before the …
False-positive reduction in computer-aided mass detection using mammographic texture analysis and classification
Background and objective The aim of computer-aided-detection (CAD) systems for
mammograms is to assist radiologists by marking region of interest (ROIs) depicting …
mammograms is to assist radiologists by marking region of interest (ROIs) depicting …
Automatic detection of perforator vessels using infrared thermography in reconstructive surgery
Purpose Knowing the location of the blood vessels supplying the skin and subcutaneous
tissue is a requirement during the planning of tissue transfer in reconstructive surgery …
tissue is a requirement during the planning of tissue transfer in reconstructive surgery …
Multifractal theory based breast tissue characterization for early detection of breast cancer
AJ Joseph, PN Pournami - Chaos, Solitons & Fractals, 2021 - Elsevier
Mammography has proven to be the most effective tool for detecting breast cancer in its
earliest and treatable stage. This paper investigates various phases of mammogram image …
earliest and treatable stage. This paper investigates various phases of mammogram image …
Loss of Mammographic tissue homeostasis in invasive lobular and ductal breast carcinomas vs. benign lesions
E Gerasimova-Chechkina, BC Toner… - Frontiers in …, 2021 - frontiersin.org
The 2D wavelet transform modulus maxima (WTMM) method is used to perform a
comparison of the spatial fluctuations of mammographic breast tissue from patients with …
comparison of the spatial fluctuations of mammographic breast tissue from patients with …
Fuzzy controller design for breast cancer treatment based on fractal dimension using breast thermograms
MA Zade, H Khodadadi - IET systems biology, 2019 - Wiley Online Library
In this study, three non‐linear indices consist of compression, one‐dimensional (1D) and
two‐dimensional (2D) fractal dimensions are used for the determination of the malignancy or …
two‐dimensional (2D) fractal dimensions are used for the determination of the malignancy or …