Breast cancer diagnosis using thermography and convolutional neural networks

S Ekici, H Jawzal - Medical hypotheses, 2020 - Elsevier
… Up to the researchers’ knowledge, the first known medical thermography for breast cancer
diagnosis was proposed by Ray Lawson in 1956. Within the next few years, tens of articles …

[HTML][HTML] Adaptive diagnostic machine learning technique for classification of cell decisions for AKT protein

AO Salau, S Jain - Informatics in Medicine Unlocked, 2021 - Elsevier
machine (LSSVM) for the diagnosis of cancer. In Ref. [18], a review of ML techniques employed
for the diagnosis … SVM and tongue image approach for the diagnosis of diabetes. In Ref. […

Artificial intelligence in cancer imaging: clinical challenges and applications

WL Bi, A Hosny, MB Schabath, ML Giger… - CA: a cancer journal …, 2019 - Wiley Online Library
… In addition to imaging, other minimally invasive biomarkers also are being developed for
cancer diagnosis and longitudinal tracking of disease. Most notably, liquid biopsies, or the …

Objective diagnosis for histopathological images based on machine learning techniques: Classical approaches and new trends

N Elazab, H Soliman, S El-Sappagh, SMR Islam… - Mathematics, 2020 - mdpi.com
… [13] presented tissue stage and cell stage examination techniques for cancer diagnosis.
They examined HI by applying preprocessing, feature extraction, and classification strategies. …

Bone cancer detection using machine learning techniques

D Shrivastava, S Sanyal, AK Maji, D Kandar - … for disease diagnosis and …, 2020 - Elsevier
Machine Learning approach proved to be successful in the area of medical image diagnosis,
disease prediction, and bone cancer diagnosis and … for bone cancer detection and machine

Telemammography: a novel approach for early detection of breast cancer through wavelets based image processing and machine learning techniques

L Syed, S Jabeen, S Manimala - Advances in soft computing and machine …, 2018 - Springer
… One of the most publicized telehealth services is the use of telemammography in the
early diagnosis of breast cancer from remote and rural locations. Automated detection and …

Computational intelligence in cancer diagnostics: a contemporary review of smart phone apps, current problems, and future research potentials

S Jain, D Naicker, R Raj, V Patel, YC Hu, K Srinivasan… - Diagnostics, 2023 - mdpi.com
… on the various machine learning and deep learning models used for cancer diagnosis. A
brief … possibilities in cancer diagnosis for aspiring researchers and enthusiasts to investigate; …

[PDF][PDF] Synergies of AI and smart technology: Transforming cancer medicine, vaccine development, and patient care

U Ali, S Ali, MT Ali - International Journal of …, 2024 - allmultidisciplinaryjournal.com
… In addition to its applications in cancer diagnosis and treatment, AI is also … transforming
cancer medicine and vaccine development. By harnessing the power of data analytics, machine

[PDF][PDF] Breast cancer detection based on thermographic images using machine learning and deep learning algorithms

VR Allugunti - International Journal of Engineering in Computer …, 2022 - researchgate.net
Diagnosis (CAD) method for the identification and diagnosis of patients into 3 classes (cancer,
no cancer, and non-cancerous… CAD is an abbreviation for computer-aided diagnosis. The …

Deep Learning and Colon Cancer Interpretation: Rise of the Machine

K McHugh, RK Pai - Surgical Pathology Clinics, 2023 - surgpath.theclinics.com
diagnostic aid In contrast to other fields of pathology where training AI models to diagnose
cancer … are only very few studies using AI to diagnose CRC or precursor lesions. Korbar and …