Applying deep learning for breast cancer detection in radiology
E Mahoro, MA Akhloufi - Current Oncology, 2022 - mdpi.com
Recent advances in deep learning have enhanced medical imaging research. Breast cancer
is the most prevalent cancer among women, and many applications have been developed to …
is the most prevalent cancer among women, and many applications have been developed to …
A novel multistage transfer learning for ultrasound breast cancer image classification
Breast cancer diagnosis is one of the many areas that has taken advantage of artificial
intelligence to achieve better performance, despite the fact that the availability of a large …
intelligence to achieve better performance, despite the fact that the availability of a large …
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
Traditional methods of diagnosing breast cancer (BC) suffer from human errors, are less
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …
accurate, and consume time. A computer-aided detection (CAD) system can overcome the …
Breast lesion classification using features fusion and selection of ensemble ResNet method
Abstract Medical Imaging with Deep Learning has recently become the most prominent topic
in the scientific world. Significant results have been obtained in the classification of medical …
in the scientific world. Significant results have been obtained in the classification of medical …
[HTML][HTML] CAS: Breast cancer diagnosis framework based on lesion region recognition in ultrasound images
S Yi, Z Chen, L Yi, F She - Journal of King Saud University-Computer and …, 2023 - Elsevier
Automated diagnosis of complex breast ultrasound images using deep learning has
important clinical implications. In this study, we propose a novel breast cancer diagnosis …
important clinical implications. In this study, we propose a novel breast cancer diagnosis …
EENet: Application of convolutional neural network‐based deep learning methods in bone tumor pathological diagnosis
X Li, R Ding, Q Wang, Z Yang, X Duan… - … Journal of Imaging …, 2024 - Wiley Online Library
Bone tumors are one of the most common diseases in bone and soft tissue tumors, and
accurate classification is crucial for develo** effective treatment strategies. However …
accurate classification is crucial for develo** effective treatment strategies. However …
A framework for selection of machine learning algorithms based on performance metrices and Akaike information criteria in healthcare, telecommunication, and …
AK Hamisu, K Jasleen - Machine Learning and Deep Learning in …, 2022 - taylorfrancis.com
Machine learning (ML) has been a prevailing method in the knowledge discovery process.
Recently there has been attention on applying ML algorithms for tasks such as classification …
Recently there has been attention on applying ML algorithms for tasks such as classification …
Apprentissage Profond et la Radiomique Pour la Détection du Cancer du Sein
E Mahoro - 2023 - search.proquest.com
Le cancer du sein est un type de cancer qui se développe dans les cellules du sein. Il peut
survenir chez les hommes mais il est beaucoup plus fréquent chez les femmes. Le cancer …
survenir chez les hommes mais il est beaucoup plus fréquent chez les femmes. Le cancer …