Analyzing histological images using hybrid techniques for early detection of multi-class breast Cancer based on Fusion features of CNN and Handcrafted
Breast cancer is the second most common type of cancer among women, and it can threaten
women's lives if it is not diagnosed early. There are many methods for detecting breast …
women's lives if it is not diagnosed early. There are many methods for detecting breast …
The dynamics of a fractional-order mathematical model of cancer tumor disease
This article explores the application of the reduced differential transform method (RDTM) for
the computational solutions of two fractional-order cancer tumor models in the Caputo …
the computational solutions of two fractional-order cancer tumor models in the Caputo …
Mathematical Modeling of Breast Cancer Based on the Caputo–Fabrizio Fractal-Fractional Derivative
Breast cancer ranks among the most prevalent malignancies affecting the female population
and is a prominent contributor to cancer-related mortality. Mathematical modeling is a …
and is a prominent contributor to cancer-related mortality. Mathematical modeling is a …
[PDF][PDF] Mathematical modeling for solving fractional model cancer bosom malignant growth
SAM Abdelmohsen, DS Mohamed, HA Alyousef… - AIMS …, 2023 - aimspress.com
Mathematical modeling for solving fractional model cancer bosom malignant growth Page 1
AIMS Biophysics, 10(3): 263–280. DOI: 10.3934/biophy.2023018 Received: 29 June 2023 …
AIMS Biophysics, 10(3): 263–280. DOI: 10.3934/biophy.2023018 Received: 29 June 2023 …
Analytical analyses for a fractional low-pass electrical transmission line model with dynamic transition
This research explores the solitary wave solutions, including dynamic transitions for a
fractional low-pass electrical transmission (LPET) line model. The fractional-order (FO) LPET …
fractional low-pass electrical transmission (LPET) line model. The fractional-order (FO) LPET …
[HTML][HTML] Towards key genes identification for breast cancer survival risk with neural network models
G Liu, X Yang, N Li - Computational Biology and Chemistry, 2024 - Elsevier
Breast cancer, one common malignant tumor all over the world, has a considerably high rate
of recurrence, which endangers the health and life of patients. While more and more data …
of recurrence, which endangers the health and life of patients. While more and more data …
[HTML][HTML] Tumor treatment with chemo-virotherapy and MEK inhibitor: A mathematical model of Caputo fractional differential operator
MM Alam, S Chowdhury, JT Chowdhury… - Alexandria Engineering …, 2023 - Elsevier
Mitogen-activated protein kinase (MEK) inhibitors and oncolytic virotherapy are identified as
promising cancer therapies that can enhance the efficacy of other cancer treatments. A few …
promising cancer therapies that can enhance the efficacy of other cancer treatments. A few …
[HTML][HTML] Stability and BI-RADS 4 subcategories mitigate on cancer risk dynamics with fractional operators: A case study analysis
In this paper, we present a mathematical model to lower the probability of breast cancer risk
of the Breast Imaging Reporting and Data Systems (BI-RADS) 4 subcategories with the …
of the Breast Imaging Reporting and Data Systems (BI-RADS) 4 subcategories with the …
[PDF][PDF] Fractional Order Environmental and Economic Model Investigations Using Artificial Neural Network.
The motive of these investigations is to provide the importance and significance of the
fractional order (FO) derivatives in the nonlinear environmental and economic (NEE) model …
fractional order (FO) derivatives in the nonlinear environmental and economic (NEE) model …
[HTML][HTML] A multi-objective optimization framework for determining optimal chemotherapy dosing and treatment duration
Traditional randomized clinical trials are regarded as the gold standard for assessing the
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …