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Involvement of machine learning for breast cancer image classification: a survey
AA Nahid, Y Kong - Computational and mathematical methods …, 2017 - Wiley Online Library
Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …
engineering of natural image classification techniques and Artificial Intelligence methods …
A hybrid approach based on multiple eigenvalues selection (MES) for the automated grading of a brain tumor using MRI
Background and objective: The manual segmentation, identification, and classification of
brain tumor using magnetic resonance (MR) images are essential for making a correct …
brain tumor using magnetic resonance (MR) images are essential for making a correct …
[PDF][PDF] Histopathological breast-image classification with restricted Boltzmann machine along with backpropagation
AA Nahid, A Mikaelian, Y Kong - Biomedical Research, 2018 - researchgate.net
Deaths due to cancer have increased rapidly in recent years. Among all the cancer
diseases, breast cancer causes many deaths in women. A digital medical photography …
diseases, breast cancer causes many deaths in women. A digital medical photography …
Multi-feature deep information bottleneck network for breast cancer classification in contrast enhanced spectral mammography
There is considerable variation in the size, shape and location of tumours, which makes it
challenging for radiologists to diagnose breast cancer. Automated diagnosis of breast …
challenging for radiologists to diagnose breast cancer. Automated diagnosis of breast …
An automated mammogram classification system using modified support vector machine
Purpose Breast cancer remains a serious public health problem that results in the loss of
lives among women. However, early detection of its signs increases treatment options and …
lives among women. However, early detection of its signs increases treatment options and …
[PDF][PDF] Feature selection mammogram based on breast cancer mining
LC Shofwatul'Uyun - International Journal of Electrical and Computer …, 2018 - academia.edu
The very dense breast of mammogram image makes the Radiologists often have difficulties
in interpreting the mammography objectively and accurately. One of the key success factors …
in interpreting the mammography objectively and accurately. One of the key success factors …
Diagnosis of anomalies based on hybrid features extraction in thyroid images
M Tasnimi, HR Ghaffari - Multimedia Tools and Applications, 2023 - Springer
Diagnosing benign and malignant glands in thyroid ultrasound images is considered a
challenging issue. Recently, deep learning techniques have significantly resulted in …
challenging issue. Recently, deep learning techniques have significantly resulted in …
A Machine Learning Approach for Enhanced Security Using Blockchain in Finance Auditing Services
In financial auditing services, which is constantly evolving, it is of the utmost importance to
establish stringent security protocols. Since the financial sector is increasingly being …
establish stringent security protocols. Since the financial sector is increasingly being …
Performance comparison of ANN-BP, ELM for MRI pancreas image classification
Magnetic resonance imaging (MRI) is a modern way of detecting tumour in medical field.
The convenience of MRI is soft tissue contrast and non invasiveness. Inconvenience of MRI …
The convenience of MRI is soft tissue contrast and non invasiveness. Inconvenience of MRI …
Investigations of shallow and deep learning algorithms for tumor detection
With the increasing ability of the computer aided detection and diagnosis system, the
exploration on the tumors have attained a breakthrough by decreasing the mortality rate …
exploration on the tumors have attained a breakthrough by decreasing the mortality rate …