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Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
NIR Yassin, S Omran, EMF El Houby… - Computer methods and …, 2018 - Elsevier
Background and objective The high incidence of breast cancer in women has increased
significantly in the recent years. Physician experience of diagnosing and detecting breast …
significantly in the recent years. Physician experience of diagnosing and detecting breast …
Combining ensemble classification and integrated filter-evolutionary search for breast cancer diagnosis
X Sun, A Qourbani - Journal of Cancer Research and Clinical Oncology, 2023 - Springer
Introduction Breast cancer is one of the most common chronic diseases and the second
cause of death among women, where its timely diagnosis plays an important role in survival …
cause of death among women, where its timely diagnosis plays an important role in survival …
Efficient detection of ventricular late potentials on ECG signals based on wavelet denoising and SVM classification
The analysis of cardiac signals is still regarded as attractive by both the academic
community and industry because it helps physicians in detecting abnormalities and …
community and industry because it helps physicians in detecting abnormalities and …
Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis
X Sun - Scientific Reports, 2025 - nature.com
Cancer, as a shocking disease, is one of the most common malignant tumors among
women, posing a huge threat to the physical health and safety of women worldwide. With the …
women, posing a huge threat to the physical health and safety of women worldwide. With the …
Computer aided evaluation (CAE) of morphologic changes in pigmented skin lesions
Mole pattern changes are important elements in detecting cancerous skin lesions, the early
stage detection is a key factor to completely cure the pathology. In this paper, an automatic …
stage detection is a key factor to completely cure the pathology. In this paper, an automatic …
A supervised method for microcalcification cluster diagnosis
In this paper, a Computer Aided System for microcalcification cluster diagnosis in
mammographic images is presented. The method is characterized by three phases. In fact …
mammographic images is presented. The method is characterized by three phases. In fact …
Enhancing Intelligent Medical Imaging to Revolutionize Healthcare
Artificial intelligence (AI) in medical imaging and the recent developments in smart
healthcare have shown remarkable progress in the field of medicine by automatically …
healthcare have shown remarkable progress in the field of medicine by automatically …
Computer aided system for breast cancer diagnosis
Computer aided detection and Diagnosis systems are becoming very useful and helpful in
supporting physicians for early detection and control of some diseases such as neoplastic …
supporting physicians for early detection and control of some diseases such as neoplastic …
An innovative LPWA network scheme to increase system reliability in remote monitoring
M D'Aloia, A Longo, R Ruggero… - … IEEE Workshop on …, 2017 - ieeexplore.ieee.org
This paper presents a smart system based on Low Power Wide Area networks for a remote
monitoring of technological room in unstaffed railway stations. The paper aim is the design …
monitoring of technological room in unstaffed railway stations. The paper aim is the design …
[PDF][PDF] Localization and Monitoring System based on BLE Fingerprint Method.
A Longo, M Rizzi, D Amendolare, S Stanisci, R Russo… - WAIAH@ AI* IA, 2017 - ceur-ws.org
Among techniques designated for indoor localization, wireless fingerprinting is the most
emerging because of the widespread deployment of wireless networks. Moreover …
emerging because of the widespread deployment of wireless networks. Moreover …